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University of Manchester
1.
Zainudin, Wan Nur rahini aznie binti.
Essays on Australian Wholesale Electricity Price Spikes
and the Australian Pre-Dispatch Process.
Degree: 2014, University of Manchester
URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:216995
► In the first essay I examine whether the occurrences of the extreme price events display any regularities that can be captured using an econometric model.…
(more)
▼ In the first essay I examine whether the
occurrences of the extreme price events display any regularities
that can be captured using an econometric model. Here I treat these
price events as point processes and apply Hawkes and Poisson
autoregressive models to model the dynamics in the intensity of
this process. I use load and meteorological information to model
the time variation in the intensity of the process. The models are
applied to data from the Australian wholesale
electricity market,
and a forecasting exercise illustrates both the usefulness of these
models and their limitations when attempting to forecast the
occurrence of extreme price events.In the second essays I explain
that in the past doubts have been raised as to whether the
pre-dispatch process in Australia
Electricity Market is able to
give
market participants and
market operator good and timely
quantity and price information. It is the purpose of the second
essay to introduce a framework to analyse whether the pre-dispatch
process is delivering biased predictions of the actual wholesale
spot price outcomes. Here I investigate the bias by comparing the
actual wholesale
market spot price outcome to pre-dispatch
sensitivity prices established the day before dispatch and on the
day of dispatch. I observe a significant bias (mainly indicating
that the pre-dispatch process tends to underestimate spot price
outcomes) and I further establish the seasonality features of the
bias across seasons and/or trading periods. I also establish
changes in bias across the years in our sample period (1999 to
2007). In the formal setting of an ordered probit model I establish
that there are some exogenous variables that are able to explain
increased probabilities of over- or under-predictions of the spot
price. It transpires that meteorological data, expected
pre-dispatch prices and information on past over- and
under-predictions contribute significantly to explaining variation
in the probabilities for over- and under-predictions. The results
allow me to conjecture that some of the bids and re-bids provided
by
electricity generators are not made in good faith.Finally, the
third essay investigates whether information from this pre-dispatch
process can be useful when predicting next-day price spikes. In a
preliminary analysis I establish the effect of pre-dispatch prices
on the quantiles of the spot price distribution. A Quantile
regression approach reveals that higher pre-dispatch prices signal
only to a certain extent an increased probability of higher spot
price outcomes. They also signal a higher uncertainty about the
resulting spot price outcomes. I further establish whether the
inclusion of information from the pre-dispatch process can
significantly improve the predictability of price spikes when these
are modelled as a point process (as in the first essay). The models
used here are Hawkes and Poisson autoregressive models which allow
for time variation (correlated to exogenous information) in the
intensity process that governs the occurrence of price spikes. It…
Advisors/Committee Members: HOWELL, SYD SD, Howell, Syd, Becker, Ralf.
Subjects/Keywords: Electricity; Price Spikes; Australia National
Electricity Market
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zainudin, W. N. r. a. b. (2014). Essays on Australian Wholesale Electricity Price Spikes
and the Australian Pre-Dispatch Process. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:216995
Chicago Manual of Style (16th Edition):
Zainudin, Wan Nur rahini aznie binti. “Essays on Australian Wholesale Electricity Price Spikes
and the Australian Pre-Dispatch Process.” 2014. Doctoral Dissertation, University of Manchester. Accessed December 06, 2019.
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:216995.
MLA Handbook (7th Edition):
Zainudin, Wan Nur rahini aznie binti. “Essays on Australian Wholesale Electricity Price Spikes
and the Australian Pre-Dispatch Process.” 2014. Web. 06 Dec 2019.
Vancouver:
Zainudin WNrab. Essays on Australian Wholesale Electricity Price Spikes
and the Australian Pre-Dispatch Process. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2019 Dec 06].
Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:216995.
Council of Science Editors:
Zainudin WNrab. Essays on Australian Wholesale Electricity Price Spikes
and the Australian Pre-Dispatch Process. [Doctoral Dissertation]. University of Manchester; 2014. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:216995

University of New South Wales
2.
Elliston, Benjamin.
Operational and economic feasibility of 100% renewable electricity scenarios for Australia.
Degree: Electrical Engineering & Telecommunications, 2014, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/53488
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12183/SOURCE02?view=true
► This thesis examines scenarios for 100% renewable electricity (RE100) in the Australian National Electricity Market (NEM). If Australia is to achieve its target of reducing…
(more)
▼ This thesis examines scenarios for 100% renewable
electricity (RE100) in the Australian National
Electricity Market (NEM). If Australia is to achieve its target of reducing carbon emissions to 80% below 2000 levels by 2050, one of the scenarios considered in this thesis may become reality. In this work, simulations of RE100 based on conservative assumptions have been developed that meet actual hourly
electricity demand in the NEM geographic area in 2010. The system is based on commercially available technologies: concentrating solar thermal (CST) with thermal storage, wind, photovoltaics, existing hydro and biofuelled gas turbines. Estimates of renewable generation are derived from satellite observations, weather stations, and actual wind farm outputs. A genetic algorithm is used to find the lowest cost scenarios using technology costs for 2030projected by the Australian Government in 2012. Constraints ensure that reliability is maintained with existing hydroelectricity generation and limited bioenergy consumption.A range of RE100 systems are found to meet the NEM reliability standard. The principal challenge is meeting peak demand on winter evenings following overcast days when CST storage is only partially charged and wind speeds are low. The lowest cost scenarios are dominated by wind power, with smaller contributions from photovoltaics and dispatchable generation: CST, hydro and gas turbines. The annual cost of RE100 is compared with the projected costs in 2030 of four fossil fuel scenarios. The four scenarios, based on the least cost mix of technologies to meet 2010 demand, are: (i) a high-carbon scenario based on efficient use of coal; (ii) a medium-carbon scenario utilising gas-fired combined cycle gas turbines (CCGTs) and open cycle gas turbines (OCGTs); (iii) coal with carbon capture and storage (CCS) plus OCGT; and (iv) CCGT with CCS plus OCGT. Sensitivity analysis of the results to carbon prices, gas prices, and projected CO2 transportation and injection costs shows that only under a few combinations of costs can any of the low- or medium-carbon fossil fuel scenarios compete economically with RE100 in a carbon constrained world.It appears possible to reliably supply the NEM using very high penetrations of available renewable energy (RE) technologies with the RE resources of Australia. Furthermore, RE100 is not necessarily more expensive than other low- or medium- carbon options to achieve deep cuts in
electricity sector emissions, and offers a lower risk pathway.
Advisors/Committee Members: Diesendorf, Mark, Institute of Environmental Studies, Faculty of Science, UNSW, MacGill, Iain, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW.
Subjects/Keywords: Scenarios; National Electricity Market; 100% renewable electricity
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Elliston, B. (2014). Operational and economic feasibility of 100% renewable electricity scenarios for Australia. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53488 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12183/SOURCE02?view=true
Chicago Manual of Style (16th Edition):
Elliston, Benjamin. “Operational and economic feasibility of 100% renewable electricity scenarios for Australia.” 2014. Doctoral Dissertation, University of New South Wales. Accessed December 06, 2019.
http://handle.unsw.edu.au/1959.4/53488 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12183/SOURCE02?view=true.
MLA Handbook (7th Edition):
Elliston, Benjamin. “Operational and economic feasibility of 100% renewable electricity scenarios for Australia.” 2014. Web. 06 Dec 2019.
Vancouver:
Elliston B. Operational and economic feasibility of 100% renewable electricity scenarios for Australia. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2019 Dec 06].
Available from: http://handle.unsw.edu.au/1959.4/53488 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12183/SOURCE02?view=true.
Council of Science Editors:
Elliston B. Operational and economic feasibility of 100% renewable electricity scenarios for Australia. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53488 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12183/SOURCE02?view=true

University of Alberta
3.
Jahangir, Junaid Bin.
Determining the effects on residential electricity prices
and carbon emissions of electricity market restructuring in
Alberta.
Degree: PhD, Economics, 2011, University of Alberta
URL: https://era.library.ualberta.ca/files/k643b159f
► When electricity restructuring initiatives were introduced in Alberta, and finalized with the institution of retail electricity market competition in 2001, it was argued that the…
(more)
▼ When electricity restructuring initiatives were
introduced in Alberta, and finalized with the institution of retail
electricity market competition in 2001, it was argued that the
changes would deliver lower electricity prices to residential
consumers. However, residential electricity prices in Alberta
increased dramatically in 2001, and have never returned to their
pre-restructuring levels. Proponents of restructuring argue that
electricity prices would have been even higher under continued
regulation, citing the effect of considerably higher natural gas
prices and the roles of other variables. However, many Alberta
residential electricity consumers tend to attribute their higher
electricity prices to factors such as market power and manipulation
associated with restructuring. Since the effects of restructuring
on electricity prices cannot be evaluated by simply comparing
prices before and after it occurred, the main objective of this
thesis is to determine what electricity prices would have been
under continued regulation, and to compare them with what was
actually observed. To determine these counterfactual electricity
prices, a structural model of the determinants of Alberta
residential electricity prices is developed, estimated for the
prerestructuring period, and used to forecast (counterfactual)
prices in the postrestructuring period. However, in forming these
forecasts it is necessary to separately account for changes in
explanatory variables that could be viewed as occurring due to the
restructuring (endogenous) from those changes that would have been
likely to have occurred anyway. Information from US jurisdictions
is used to account for this endogeneity issue through simulation
analyses. Results suggest that for 2001 to 2004, residential
electricity prices in Alberta would generally have been lower under
continued regulation. Since electricity market restructuring is not
necessarily directed only at lowering the electricity price, its
impact in Alberta on carbon emissions is also investigated.
Specifically, the approach developed in the context of electricity
prices is applied to determine counterfactual carbon emissions.
While it is found that carbon emissions would have been lower under
continued regulation, this result should be viewed cautiously given
model estimation issues. However, the approach developed to
construct both counterfactual electricity prices and carbon
emissions is an improvement to that observed in the
literature.
Subjects/Keywords: residential electricity prices; carbon emissions; counterfactual electricity prices; Alberta electricity market; electricity market restructuring
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Jahangir, J. B. (2011). Determining the effects on residential electricity prices
and carbon emissions of electricity market restructuring in
Alberta. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/k643b159f
Chicago Manual of Style (16th Edition):
Jahangir, Junaid Bin. “Determining the effects on residential electricity prices
and carbon emissions of electricity market restructuring in
Alberta.” 2011. Doctoral Dissertation, University of Alberta. Accessed December 06, 2019.
https://era.library.ualberta.ca/files/k643b159f.
MLA Handbook (7th Edition):
Jahangir, Junaid Bin. “Determining the effects on residential electricity prices
and carbon emissions of electricity market restructuring in
Alberta.” 2011. Web. 06 Dec 2019.
Vancouver:
Jahangir JB. Determining the effects on residential electricity prices
and carbon emissions of electricity market restructuring in
Alberta. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2019 Dec 06].
Available from: https://era.library.ualberta.ca/files/k643b159f.
Council of Science Editors:
Jahangir JB. Determining the effects on residential electricity prices
and carbon emissions of electricity market restructuring in
Alberta. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/k643b159f

Victoria University of Wellington
4.
Fiuza de Braganca, Gabriel Godofredo.
Essays on the Interaction
Between Risk and Market
Structure in Electricity
Markets.
Degree: 2011, Victoria University of Wellington
URL: http://hdl.handle.net/10063/2008
► This thesis proposes a new framework to jointly analyze electricity spot market and hedging decisions in an oligopolistic setup. Firstly, we find that, when exogenous,…
(more)
▼ This thesis proposes a new framework to jointly analyze
electricity spot
market and hedging decisions in an oligopolistic setup. Firstly, we find
that, when exogenous, both quantity of
electricity hedged by contract and
vertical integration decrease the equilibrium spot price. Secondly, we use
a hybrid approach and show that
market structure can affect a generator’s
decision to vertically integrate under uncertain demand. Thirdly, we consider
uncertainty in costs and demand and show that concentration in the
spot
market, for a given hedge quantum, can increase forward prices and
affect the slope of the forward curve. Our empirical results indicate that
the model fits the New Zealand
electricity market well. This evidence that
market structure and hedging decisions are closely connected is further
explored in a three period equilibrium model for the spot and forward
markets, where hedging occurs prior to the submission of supply curves.
Taking into account demand-side and supply-side uncertainties, we find
that when hedging is endogenous, hedging quantities are affected by spot
market parameters, but
market power is itself mitigated in the conscious
hedging choice of generators. We also show that forward markets can
coexist with highly vertically integrated markets. The importance of our
results is general. Our models can be used by policy makers to analyze
investment and forward price implications of changes in the spot
market
structure. Our results also indicate that
electricity generators, in equilibrium,
face a trade-off between
market power and hedging. Given that it is
socially beneficial to manage risk, the equilibrium impact of their choices
on welfare should not be considered in isolation by competition authorities.
Advisors/Committee Members: Evans, Lew, Daglish, Toby.
Subjects/Keywords: Electricity; Market power; Hedge
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Fiuza de Braganca, G. G. (2011). Essays on the Interaction
Between Risk and Market
Structure in Electricity
Markets. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/2008
Chicago Manual of Style (16th Edition):
Fiuza de Braganca, Gabriel Godofredo. “Essays on the Interaction
Between Risk and Market
Structure in Electricity
Markets.” 2011. Doctoral Dissertation, Victoria University of Wellington. Accessed December 06, 2019.
http://hdl.handle.net/10063/2008.
MLA Handbook (7th Edition):
Fiuza de Braganca, Gabriel Godofredo. “Essays on the Interaction
Between Risk and Market
Structure in Electricity
Markets.” 2011. Web. 06 Dec 2019.
Vancouver:
Fiuza de Braganca GG. Essays on the Interaction
Between Risk and Market
Structure in Electricity
Markets. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2011. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/10063/2008.
Council of Science Editors:
Fiuza de Braganca GG. Essays on the Interaction
Between Risk and Market
Structure in Electricity
Markets. [Doctoral Dissertation]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/2008

University of Illinois – Urbana-Champaign
5.
Liu, Tingwen.
Demand for electricity: a case in South Korea.
Degree: PhD, 0074, 2014, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/46864
► This dissertation studies wholesale and sector-wise electricity demand in South Korea. Electricity demand analysis provides useful insights for market performance evaluation, load prediction, market restructuring,…
(more)
▼ This dissertation studies wholesale and sector-wise
electricity demand in South
Korea.
Electricity demand analysis provides useful insights for
market performance evaluation, load prediction,
market restructuring, tariff schedule design, etc. In recent years, there has been a heated debate in Korea on how
to restructure the
electricity market, since low reserve margins that have been in operation (6.7% on average in 2010 for instance) have been threatening the stability and integrity
of the
electricity system. This dissertation thus attempts to address three important
questions about Korean
electricity demand-side
market restructuring:
(1) What are the estimates of the price elasticity of
electricity demand in the wholesale and retail markets, including the residential, industrial, and commercial sectors? (2) How do inter-temporal price changes affect
electricity consumption, and what are the estimates of the inter-temporal
electricity cross-price elasticities in the wholesale
market? (3) Except for the
electricity price, what other factors affect
electricity consumption in the wholesale and retail markets, including the residential, industrial, and commercial sectors?
In Chapter 2, I review current studies on
electricity demand estimations, with the emphasis on price elasticity after the year 2000. Twenty papers (selected on the basis of the author's
judgment) are summarized and evaluated, along with six papers that are discussed in relatively more detail. I also present evaluations and critiques of these works.
In Chapter 3, I briefly introduce the Korean
electricity market and how it functions. In Chapter 4, I investigate the underlying features of the data in each
market and sector and present these features both graphically and statistically.
In Chapter 5, I study the wholesale
electricity market. Under the Real Time Pricing (RTP) structure, I discuss the model specification with respect to hourly consumption data with a consideration of aggregate utilization behaviors to control the complicated cyclical consumption patterns. Identification is established when the exclusion condition is not satisfied in the demand and supply system. The estimated real-time aggregate price elasticity, based on the whole sample, is -0.0034, the corresponding long-run price elasticity is -0.0640, and
the estimated cross-price elasticities within the previous twenty-two hours are all negative, suggesting complementarity price effects.
Price elasticities are also affected by the size of responsive customers. The effects of
interruptible service operated by Korea Electric Power Corporation (KEPCO) and large buyers in the wholesale
market with on-site generators on the demand curve are not detected
based on a smooth transition model. Price elasticities with regard to each hour within a day are also estimated. Temperature and different types of the day also affect aggregate
electricity consumption.
In Chapter 6, I study the retail
electricity market, with a focus on the residential, industrial, and commercial…
Advisors/Committee Members: Cho, In-Koo (advisor), Cho, In-Koo (Committee Chair), Bera, Anil K. (committee member), Deltas, George (committee member), Hong, Seung-Hyun (committee member).
Subjects/Keywords: Electricity market; Demand; Price elasticity
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Liu, T. (2014). Demand for electricity: a case in South Korea. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46864
Chicago Manual of Style (16th Edition):
Liu, Tingwen. “Demand for electricity: a case in South Korea.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 06, 2019.
http://hdl.handle.net/2142/46864.
MLA Handbook (7th Edition):
Liu, Tingwen. “Demand for electricity: a case in South Korea.” 2014. Web. 06 Dec 2019.
Vancouver:
Liu T. Demand for electricity: a case in South Korea. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/2142/46864.
Council of Science Editors:
Liu T. Demand for electricity: a case in South Korea. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46864

Rochester Institute of Technology
6.
Aliu, Faton.
Criteria for Promoting a Regional Electricity Market and Benefits to Kosovo : [presentation given February 23, 2010].
Degree: Professional Studies (CMS), 2010, Rochester Institute of Technology
URL: https://scholarworks.rit.edu/theses/6978
► South East Europe (SEE) is moving rapidly toward the creation of a regional electricity market and wholesale electricity market/power exchange that will improve competitive performance…
(more)
▼ South East Europe (SEE) is moving rapidly toward the creation of a regional
electricity market and wholesale
electricity market/power exchange that will improve competitive performance and increase liquidity and reliability.
Kosovo’s utility leaders are very interested in becoming active partners in a well-developed regional
electricity market. In order to achieve this then certain criteria have to be met. This capstone project gives a general background of
electricity markets with developments in Europe and especially Southeast Europe (SEE) for meeting the criteria for promoting a more integrated regional
electricity market.
Eight criteria to be discussed are: Supply and demand conditions, Trading Mechanisms, Physical capabilities of transmission lines,
Electricity related legal and regulatory issues, Increase of generation capacities in region,
Electricity market prices and tariffs, Third Party Access to use the network, and Environmental issues and renewable energy sources.
This project starts from defining the main goals and then discusses different elements, which challenge the stakeholders on their way to achieve an open
electricity market infrastructure and appropriate economic regulatory environment. Several sections will discuss the criteria for efficient
electricity markets. These will allow better understanding of the
subject and easier catch up with the problems related to SEE Transmission System Operators (TSO) functions, with the main focus being on the Kosovo TSO and its relationships with neighboring TSOs.
The following table (Table 7.4) explains consumption and net import (+) / net export (-) of South Eastern Countries in 2008.
Advisors/Committee Members: Demiri, Donika.
Subjects/Keywords: electricity; Kosovo; regional market
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Aliu, F. (2010). Criteria for Promoting a Regional Electricity Market and Benefits to Kosovo : [presentation given February 23, 2010]. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/6978
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Aliu, Faton. “Criteria for Promoting a Regional Electricity Market and Benefits to Kosovo : [presentation given February 23, 2010].” 2010. Thesis, Rochester Institute of Technology. Accessed December 06, 2019.
https://scholarworks.rit.edu/theses/6978.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Aliu, Faton. “Criteria for Promoting a Regional Electricity Market and Benefits to Kosovo : [presentation given February 23, 2010].” 2010. Web. 06 Dec 2019.
Vancouver:
Aliu F. Criteria for Promoting a Regional Electricity Market and Benefits to Kosovo : [presentation given February 23, 2010]. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2019 Dec 06].
Available from: https://scholarworks.rit.edu/theses/6978.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Aliu F. Criteria for Promoting a Regional Electricity Market and Benefits to Kosovo : [presentation given February 23, 2010]. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/6978
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of North Texas
7.
Jones, Kevin.
Risk Management And Market Efficiency On The Midwest Independent System Operator Electricity Exchange.
Degree: 2011, University of North Texas
URL: https://digital.library.unt.edu/ark:/67531/metadc103339/
► Midwest Independent Transmission System Operator, Inc. (MISO) is a non-profit regional transmission organization (RTO) that oversees electricity production and transmission across thirteen states and one…
(more)
▼ Midwest Independent Transmission System Operator, Inc. (MISO) is a non-profit regional transmission organization (RTO) that oversees
electricity production and transmission across thirteen states and one Canadian province. MISO also operates an electronic exchange for buying and selling
electricity for each of its five regional hubs. MISO oversees two types of markets. The forward
market, which is referred to as the day-ahead (DA)
market, allows
market participants to place demand bids and supply offers on
electricity to be delivered at a specified hour the following day. The equilibrium price, known as the locational marginal price (LMP), is determined by MISO after receiving sale offers and purchase bids from
market participants. MISO also coordinates a spot
market, which is known as the real-time (RT)
market. Traders in the real-time
market must submit bids and offers by thirty minutes prior to the hour for which the trade will be executed. After receiving purchase and sale offers for a given hour in the real time
market, MISO then determines the LMP for that particular hour. The existence of the DA and RT markets allows producers and retailers to hedge against the large fluctuations that are common in
electricity prices. Hedge ratios on the MISO exchange are estimated using various techniques. No hedge ratio technique examined consistently outperforms the unhedged portfolio in terms of variance reduction. Consequently, none of the hedge ratio methods in this study meet the general interpretation of FASB guidelines for a highly effective hedge. One of the major goals of deregulation is to bring about competition and increased efficiency in
electricity markets. Previous research suggests that
electricity exchanges may not be weak-form
market efficient. A simple moving average trading rule is found to produce statistically and economically significant profits on the MISO exchange. This could call the long-term survivability of the MISO exchange into question.
Advisors/Committee Members: Karafiáth, Imre, MacDonald, Don N., Cole, Steven, Tieslau, Margie A..
Subjects/Keywords: Derivatives; electricity; market efficiency
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California State University – Sacramento
8.
Kandybenko, Alexander.
Forecasting electricity market prices and optimizing bidding strategies.
Degree: MA, Economics, 2017, California State University – Sacramento
URL: http://hdl.handle.net/10211.3/196668
► In this thesis, the problems of forecasting the market clearing price (MCP) in California electricity markets and the optimizing bidding strategies of a generator owner…
(more)
▼ In this thesis, the problems of forecasting the
market clearing price (MCP) in
California
electricity markets and the optimizing bidding strategies of a generator owner
are studied. The MCP forecasting helps producers and consumers of electric power to
prepare their bidding strategies, and, consequently to maximize their profits. MCP
prediction is a difficult task since bidding strategies used by
market participants are
complicated and there are many uncertainties that interact with one another.
Nevertheless, bidding strategies can be optimized based on the forecasted MCP. In this
thesis, the autoregressive with exogenous variable (ARX) technique is used to forecast
the hourly MCPs. The MCP forecasts are modeled using current and lagged values of
hourly
electricity consumption, current and lagged values of the hourly MCP, hourly
natural gas prices, and hourly energy produced from renewable sources. Optimal lag
lengths are chosen based on the lowest AIC, the highest adjusted R2, and the lowest
mean absolute percentage error (MAPE). The forecasted MCPs are then used tooptimize bidding strategies of a generator owner to maximize profits. The methods and
techniques used in this thesis are able to forecast future
electricity prices in California as
well as those obtained by other researchers, but use only using publicly available, and
not proprietary, data sources.
Advisors/Committee Members: Siegler, Mark V..
Subjects/Keywords: Market clearing price; MCP; Electricity market
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kandybenko, A. (2017). Forecasting electricity market prices and optimizing bidding strategies. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/196668
Chicago Manual of Style (16th Edition):
Kandybenko, Alexander. “Forecasting electricity market prices and optimizing bidding strategies.” 2017. Masters Thesis, California State University – Sacramento. Accessed December 06, 2019.
http://hdl.handle.net/10211.3/196668.
MLA Handbook (7th Edition):
Kandybenko, Alexander. “Forecasting electricity market prices and optimizing bidding strategies.” 2017. Web. 06 Dec 2019.
Vancouver:
Kandybenko A. Forecasting electricity market prices and optimizing bidding strategies. [Internet] [Masters thesis]. California State University – Sacramento; 2017. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/10211.3/196668.
Council of Science Editors:
Kandybenko A. Forecasting electricity market prices and optimizing bidding strategies. [Masters Thesis]. California State University – Sacramento; 2017. Available from: http://hdl.handle.net/10211.3/196668

University of Newcastle
9.
Zhou, Xun.
Advanced computational techniques for electricity market analysis considering sustainable energy supply issues.
Degree: PhD, 2016, University of Newcastle
URL: http://hdl.handle.net/1959.13/1322548
► Research Doctorate - Doctor of Philosophy (PhD)
Electricity industries worldwide are undergoing rapid and deepening change. This has been largely driven by the market-oriented restructuring…
(more)
▼ Research Doctorate - Doctor of Philosophy (PhD)
Electricity industries worldwide are undergoing rapid and deepening change. This has been largely driven by the market-oriented restructuring underway in many countries and the increasing global concerns about climate change.Unceasingly climate change is becoming one of a major challenge for the sustainable development of power industries, as power generations are the major sources of Greenhouse Gas (GHG) emissions. This research is dedicated to developing advanced computational techniques to solve several power system problems that emerge in deregulated electricity markets and changing environmental protection regulations. Three major objectives are included and achieved in this research. The first objective is to assess and quantify the potential impacts on, and changes in, economic efficiency in the electricity generation sector in Australian national electricity market after the implementation of ETS, as opposed to without the introduction of ETS. The focus is on the relative changes in electricity wholesale prices, generators merit order of dispatch, market power and possible compensation to carbon intensive generators.The second objective is to create a constrained multi-objectives evolutionary optimisation model based on decomposition for power system dispatch by minimising generation costs and carbon emissions.The third objective is to develop an electricity price forecast model using differential evolution (DE) algorithm-enhanced evolutionary extreme learning machine (E-ELM). The main goal is to provide more accurate and reliable prediction of electricity price to facilitate energy market participants’ portfolio and risk management.
Advisors/Committee Members: University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science.
Subjects/Keywords: emissions trading scheme; electricity market; electricity price forecast; market power
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zhou, X. (2016). Advanced computational techniques for electricity market analysis considering sustainable energy supply issues. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1322548
Chicago Manual of Style (16th Edition):
Zhou, Xun. “Advanced computational techniques for electricity market analysis considering sustainable energy supply issues.” 2016. Doctoral Dissertation, University of Newcastle. Accessed December 06, 2019.
http://hdl.handle.net/1959.13/1322548.
MLA Handbook (7th Edition):
Zhou, Xun. “Advanced computational techniques for electricity market analysis considering sustainable energy supply issues.” 2016. Web. 06 Dec 2019.
Vancouver:
Zhou X. Advanced computational techniques for electricity market analysis considering sustainable energy supply issues. [Internet] [Doctoral dissertation]. University of Newcastle; 2016. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/1959.13/1322548.
Council of Science Editors:
Zhou X. Advanced computational techniques for electricity market analysis considering sustainable energy supply issues. [Doctoral Dissertation]. University of Newcastle; 2016. Available from: http://hdl.handle.net/1959.13/1322548

University of Melbourne
10.
de la Rue, Philip Martin.
Modelling household electricity consumption.
Degree: 2010, University of Melbourne
URL: http://hdl.handle.net/11343/36931
► A simulation model of household consumption of electricity is constructed taking account of intra-day climate and electricity price changes. The model is extended to endogenise…
(more)
▼ A simulation model of household consumption of electricity is constructed taking account of intra-day climate and electricity price changes. The model is extended to endogenise household decisions concerning the stock and characteristics of appliances based on electricity prices and public policy (price subsidies and energy efficiency standards). Illustrative applications of the model are presented, estimating the effects of various tariff plans, regulatory and policy options, and climate scenarios on household electricity consumption and appliance purchase decisions.
The model utilises a novel theoretical technique to estimate a matrix of relative intra-day price elasticities for individual households and energy functions (including heating, cooling and lighting). Substantial variation is evident in the intra-day elasticities of demand for electricity between both households and energy functions.
A number of conclusions are drawn, however given the limited and non-representative na- ture of the data on which the model is calibrated, these can be treated as illustrative only. The model predicts that the introduction of intra-day pricing of electricity for the residential sector will yield efficiency benefits, reducing consumption during peak periods as the retail price better reflects the cost of supplying electricity. The distributional impact of the introduction of a time of use (TOU) tariff is not uniform across sample households, highlighting potential political difficulties in implementing pricing reform. The regulatory imposition of a price ceiling limits the extent to which energy efficiency benefits can be realised under a TOU tariff. The potential for policy options such as the introduction of minimum appliance energy efficiency standards, a carbon cap and trade scheme, and subsidies for the purchase of energy efficient appliances to reduce medium and long run electricity consumption is illustrated. Increases in temperature predicted for coastal Australia arising from climate change would increase aggregate household electricity consumption if further analysis based on representative data supported the climate response and intra-day price elasticity estimates of this study.
Subjects/Keywords: electricity pricing; electricity market reform; intra-day price elasticity; household electricity consumption
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
de la Rue, P. M. (2010). Modelling household electricity consumption. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/36931
Chicago Manual of Style (16th Edition):
de la Rue, Philip Martin. “Modelling household electricity consumption.” 2010. Doctoral Dissertation, University of Melbourne. Accessed December 06, 2019.
http://hdl.handle.net/11343/36931.
MLA Handbook (7th Edition):
de la Rue, Philip Martin. “Modelling household electricity consumption.” 2010. Web. 06 Dec 2019.
Vancouver:
de la Rue PM. Modelling household electricity consumption. [Internet] [Doctoral dissertation]. University of Melbourne; 2010. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/11343/36931.
Council of Science Editors:
de la Rue PM. Modelling household electricity consumption. [Doctoral Dissertation]. University of Melbourne; 2010. Available from: http://hdl.handle.net/11343/36931

Texas A&M University
11.
Tang, Xin.
Essays in Competition and Investment in Electricity Market.
Degree: 2014, Texas A&M University
URL: http://hdl.handle.net/1969.1/153977
► Many jurisdiction has opened retail electricity markets to competition. In Texas, retailers offer hundreds of electricity plans with different prices. The first paper uses search…
(more)
▼ Many jurisdiction has opened retail
electricity markets to competition. In Texas, retailers offer hundreds of
electricity plans with different prices. The first paper uses search cost and product differentiation to explain the price dispersion using only data on price. If search costs are present, the search burden can lead to
market inefficiency. If product differentiation is the main cause of price dispersion, the
market competition can increases consumer welfare. The model improves the current sequential search model by taking product differentiation into consideration. The results show that both product differentiation and search cost result in price dispersion. Product differentiation explains about 55% of the price dispersion. The magnitude of search costs is large and the counter-factual experiment shows that reduced search cost could reduce both
market average price and price dispersion.
The second paper uses a dynamic investment model to tackle three critical issues in renewable energy in the
electricity industry. First, current renewable energy policies do not differentiate the carbon intensity of nonrenewable resources, which makes them less cost effective in reducing the carbon emission. Second, when making investment decisions, power plants take uncertainties into consideration. Lastly, the
electricity generation
market is unique that the players in the
market not only compete in the hourly spot
market but also compete with long-term investment strategies. A dynamic investment model considers all three issues simultaneously by simulating both short term and long term firm behavior under different
market design parameter settings.
Advisors/Committee Members: Puller, Steven (advisor), Wiggins, Steven (committee member), Houghton, Stephanie (committee member), Woodward, Richard (committee member).
Subjects/Keywords: Search model; investment model; electricity market
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Tang, X. (2014). Essays in Competition and Investment in Electricity Market. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153977
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Tang, Xin. “Essays in Competition and Investment in Electricity Market.” 2014. Thesis, Texas A&M University. Accessed December 06, 2019.
http://hdl.handle.net/1969.1/153977.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Tang, Xin. “Essays in Competition and Investment in Electricity Market.” 2014. Web. 06 Dec 2019.
Vancouver:
Tang X. Essays in Competition and Investment in Electricity Market. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/1969.1/153977.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Tang X. Essays in Competition and Investment in Electricity Market. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153977
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Canterbury
12.
Shao, Bin.
China's Electric Power Industry Reform: An Empirical Investigation.
Degree: Economics and Finance, 2010, University of Canterbury
URL: http://hdl.handle.net/10092/5177
► Electric power has become the most widely used secondary energy. As a result, the electricity industry's development will, in turn, directly influence other industries, people's…
(more)
▼ Electric power has become the most widely used secondary energy. As a result, the electricity industry's development will, in turn, directly influence other industries, people's daily lives, and the whole economy. China is one of the most rapidly developing economies, making it one of the biggest consumer of electricity in the world. Thus, the development of electric industry in China is not only important for the development of China itself, but also the energy pattern all over the world.
In this study, we focus on analysing the market-oriented reform in China's electricity industry after the adoption of reforming and opening policies in 1978. By following the time path, the detailed content of the reform, as it was applied and modified over time, is first introduced. Then, an empirical investigation is conducted on the major policies in the process of China's electric power industry reform. Through quantitative measurement, the contribution of each major policy is clearly defined, so that conclusions concerning the reform in the past and suggestions for its future direction can be reached and made.
It is found that both successes and deficiencies occurred in the reform process, and that China's electric industry has made significant efforts to overcome obstacles as they have been identified. However, even though great progress has been made in China's electric power industry from 1978 to 2009, more efforts are still required to finally achieve market operation in the industry. It is expected that this study can positively contribute to the development of China's electric power industry, as well as to electric power industries in other countries.
Subjects/Keywords: Electricity; market-oriented reform; quantitative measurement
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Shao, B. (2010). China's Electric Power Industry Reform: An Empirical Investigation. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/5177
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Shao, Bin. “China's Electric Power Industry Reform: An Empirical Investigation.” 2010. Thesis, University of Canterbury. Accessed December 06, 2019.
http://hdl.handle.net/10092/5177.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Shao, Bin. “China's Electric Power Industry Reform: An Empirical Investigation.” 2010. Web. 06 Dec 2019.
Vancouver:
Shao B. China's Electric Power Industry Reform: An Empirical Investigation. [Internet] [Thesis]. University of Canterbury; 2010. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/10092/5177.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Shao B. China's Electric Power Industry Reform: An Empirical Investigation. [Thesis]. University of Canterbury; 2010. Available from: http://hdl.handle.net/10092/5177
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University
13.
Tsai, Chen-hao.
Essays on Electricity Market Restructuring and.
Degree: PhD, Energy and Mineral Engineering, 2015, Penn State University
URL: https://etda.libraries.psu.edu/catalog/24836
► Chapter 1: Deregulation and Investment in Generation Capacity: Evidence from Nuclear Power Uprates in the United States Nuclear power uprates are investments in generation capacity…
(more)
▼ Chapter 1: Deregulation and Investment in Generation
Capacity: Evidence from Nuclear Power Uprates in the United States
Nuclear power uprates are investments in generation capacity that
enable reactors to operate beyond the original power limit. We find
that deregulated reactors are more likely to invest in power
uprates. Moreover, after deregulation boiling water reactors are
more likely to choose Extended Power Uprates (EPUs) that could add
up to 20 percent of the original power, but pressurized water
reactors, another type of reactors for which EPUs are more
technically challenging, tend to select other types of uprates that
add less of reactor power. Deregulation incentivizes reactors to
pursue profitable investments and propels them to make careful
investment decisions. Chapter 2: Electricity Market Restructuring,
Grid Power Flow Conditions, and Nuclear Power Safety in the United
States The majority of nuclear power plants in commercial operation
today require uninterrupted electrical power supply from
transmission grid, controlled within a stringent range of voltage
and frequency, to support critical plant safety functions. We study
nuclear plant safety events caused by power flow transients over
the transmission grid and reported by nuclear plants to the U.S.
Nuclear Regulatory Commission between 1990 and 2011, and find that
for plants operate in areas with competitive wholesale electricity
markets, the likelihood to experience unplanned reactor emergency
shutdowns have increased more than two times, mainly due to
unanalyzed or unexpected abnormal voltages over transmission grid.
Our study suggests that electricity market restructuring may have
introduced an increasing challenge to nuclear plant operational
safety, as well as to maintaining transmission grid voltage
stability. Chapter 3: Deregulation and Nuclear Plant Performance:
Evidence from Reactor Initiating Events in the United States
Nuclear power reactor initiating events, which are unplanned
automatic or manual reactor trips, serve as a primary indicator of
reactor performance. We study all "plant-centered" initiating
events. i.e. events due to plant internal root causes, between 1988
and 2012, and have two main findings. First, we find that
deregulated reactors have significantly decreased the frequency of
initiating events due to equipment failure. Second, we did not find
changes in the frequency of initiating events due to human error.
These findings suggest that deregulated reactors may put more
emphasis on maintaining the equipment in sound operation and less
emphasis is put on the training and human performance side. Our
study also hints that when reactors performed well, it often became
complacent and their performance declined, which echo industrial
discussions that complacency is truly the enemy of nuclear safety
culture, and it happens to even the best of nuclear
reactors.
Subjects/Keywords: nuclear energy; nuclear safety; electricity market;
deregulation
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Tsai, C. (2015). Essays on Electricity Market Restructuring and. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/24836
Chicago Manual of Style (16th Edition):
Tsai, Chen-hao. “Essays on Electricity Market Restructuring and.” 2015. Doctoral Dissertation, Penn State University. Accessed December 06, 2019.
https://etda.libraries.psu.edu/catalog/24836.
MLA Handbook (7th Edition):
Tsai, Chen-hao. “Essays on Electricity Market Restructuring and.” 2015. Web. 06 Dec 2019.
Vancouver:
Tsai C. Essays on Electricity Market Restructuring and. [Internet] [Doctoral dissertation]. Penn State University; 2015. [cited 2019 Dec 06].
Available from: https://etda.libraries.psu.edu/catalog/24836.
Council of Science Editors:
Tsai C. Essays on Electricity Market Restructuring and. [Doctoral Dissertation]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/24836

University of Sydney
14.
Lu, Chiang.
Forecasting for Energy Market Risk Management
.
Degree: 2018, University of Sydney
URL: http://hdl.handle.net/2123/18889
► We rely on information from forecasts to formulate optimal decisions every day with our limited resources. The operation of the power infrastructure relies on forecasts…
(more)
▼ We rely on information from forecasts to formulate optimal decisions every day with our limited resources. The operation of the power infrastructure relies on forecasts to maintain enough supply in the system and preserve desirable operational conditions. With the concern for climate change, the shift in energy source has been focused on integrating renewable energy into the power system. Due to the stochastic nature of solar and wind. Energy cannot be produced on demand. Improving forecasts on this variable is an increasing need for its greater acceptance as a viable and a reliable energy source. In addition, energy market traders and participants rely on modelling the electricity spot price characteristics to inform on their risk management policies, portfolio allocation and bid decisions.
This thesis deals with forecasting for risk management in the electricity market. It is an investigation in forecasting the electricity spot price and wind farm power outputs. It studies the viability of using satellite images to formulate wind farm power forecasts using Convolutional Neural Networks and Recurrent Convolutional Neural Networks. Study on wind forecast errors in valuing the uncertainties in electricity spot price is also presented. The outcome of this study indicates that discriminatory features or relationships in satellite images does not lead to improved wind farm power forecasting. Wind forecast errors does not appear to have any relationship in estimating the electricity spot price. This study indicates difficulties in utilising satellite images to directly predicting the wind farm power output. However future work on this topic may provide information on the expected wind farm power forecast errors for application in developing probabilistic forecasts.
Subjects/Keywords: Wind forecasting;
Satellite;
Energy Market;
Electricity price
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Lu, C. (2018). Forecasting for Energy Market Risk Management
. (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/18889
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Lu, Chiang. “Forecasting for Energy Market Risk Management
.” 2018. Thesis, University of Sydney. Accessed December 06, 2019.
http://hdl.handle.net/2123/18889.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lu, Chiang. “Forecasting for Energy Market Risk Management
.” 2018. Web. 06 Dec 2019.
Vancouver:
Lu C. Forecasting for Energy Market Risk Management
. [Internet] [Thesis]. University of Sydney; 2018. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/2123/18889.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lu C. Forecasting for Energy Market Risk Management
. [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/18889
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cornell University
15.
Jeon, Woo Young.
The Impact Of Wind Generation, Deferrable Demand, And Utility-Scale Storage On System Costs And Customers’ Payments For Electricity
.
Degree: 2014, Cornell University
URL: http://hdl.handle.net/1813/38940
► The recent rapid increase in the penetration of renewable sources of generation in electricity markets has introduced a new challenge for system operators due to…
(more)
▼ The recent rapid increase in the penetration of renewable sources of generation in
electricity markets has introduced a new challenge for system operators due to the inherent variability of these sources. An effective solution to this challenge is to use storage capacity to offset the variabilty. An additional advantage of storage is that it can also shift load from peak to off-peak periods and lower system costs. Since electric batteries are relatively expensive, a promising form of storage is to use deferrable demand devices to decouple the purchase of
electricity from the delivery of an energy service, such as thermal storage for space conditioning and hot water. The smart-charging of electric vehicles represents another type of deferrable demand. Two additional advantages of deferrable demand are that it is relatively inexpensive and the potential amount of capacity is enormous. The objective of this dissertation is to evaluate how high penetrations of wind generation affect the costs of operating an
electricity grid and to determine the economic value of different types of storage from the perspective of a system operator and of individual customers. The empirical analysis is based on a stochastic form of multi-period Security-Constrained Optimal Power Flow (SCOPF) using a reduction of the network in New York State and New England. In this model, the potential wind generation and electric load are both stochastic inputs, and the optimal dispatch of conventional generating units for both energy and reserves over 24 hours is determined endogenously to meet load and maintain system reliability. The results for a hot summer day show that adding wind capacity displaces fossil fuels and increases ramping requirements, but the net effect is lower operating costs. Energy storage reduces operating costs further by 1) buying more energy when
electricity prices are low by shifting demand from peak to off-peak hours, 2) providing ancillary services such as ramping services to mitigate the variability of wind generation, and 3) lowering the amount of conventional generating capacity needed to maintain system adequacy at the system peak. This is true for both utility-scale storage and deferrable demand. Although utility-scale storage reduces the operating costs more than the same capacity of deferrable demand, the capital costs of storage are higher and the total of all costs are lower for deferrable demand. Customers with thermal storage for space and/or water heating get most of their savings from lower demand payments (i.e. reducing their demand at the system peak), and for customers with electric vehicles, the main savings are from buying less gasoline. However, encouraging customers to adopt deferrable demand devices will require charging them an efficient rate structure that reflects the true cost of supplying
electricity. Comparing the bills paid by customers with different types of deferrable demand shows that an efficient rate structure provides positive economic incentives for investing in deferrable demand but a…
Advisors/Committee Members: Li, Shanjun (committeeMember), Zhang, Ke (committeeMember).
Subjects/Keywords: electricity market;
wind generation;
energy storage
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Jeon, W. Y. (2014). The Impact Of Wind Generation, Deferrable Demand, And Utility-Scale Storage On System Costs And Customers’ Payments For Electricity
. (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/38940
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Jeon, Woo Young. “The Impact Of Wind Generation, Deferrable Demand, And Utility-Scale Storage On System Costs And Customers’ Payments For Electricity
.” 2014. Thesis, Cornell University. Accessed December 06, 2019.
http://hdl.handle.net/1813/38940.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Jeon, Woo Young. “The Impact Of Wind Generation, Deferrable Demand, And Utility-Scale Storage On System Costs And Customers’ Payments For Electricity
.” 2014. Web. 06 Dec 2019.
Vancouver:
Jeon WY. The Impact Of Wind Generation, Deferrable Demand, And Utility-Scale Storage On System Costs And Customers’ Payments For Electricity
. [Internet] [Thesis]. Cornell University; 2014. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/1813/38940.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Jeon WY. The Impact Of Wind Generation, Deferrable Demand, And Utility-Scale Storage On System Costs And Customers’ Payments For Electricity
. [Thesis]. Cornell University; 2014. Available from: http://hdl.handle.net/1813/38940
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
16.
Eriksson, Andreas.
The impact of EU the emissions trading system on the price of electricity : An econometric analysis of the Nordic electricity market.
Degree: Technology and Social Sciences, 2018, Luleå University of Technology
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71421
► The aim of this study is to examine how the EU ETS price has affected the price of electricity in the Nordic electricity market,…
(more)
▼ The aim of this study is to examine how the EU ETS price has affected the price of electricity in the Nordic electricity market, and how future changes in the carbon price may affect the wholesale electricity prices. The Nordic countries included are Sweden, Norway, Denmark and Finland. The analysis builds on a reduced econometric model where the Nordic electricity price constitutes the dependent variable. Problem with autocorrelation implied that quarterly data rather than monthly data were used. This model is estimated using ordinary least square (OLS) regression technique. Four variables were found to be statistically significant. These include the EU ETS price, the hydro reservoir level, the coal price and the temperature. The estimated coefficients were used to conduct a simulation on what could happen if the EU ETS price increased to € 30 per ton. The results showed that the electricity price would than increase by about € 16 per MWh from its current level at about € 37 per MWh.
Subjects/Keywords: EU ETS; Nordic electricity market; Economics; Nationalekonomi
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Eriksson, A. (2018). The impact of EU the emissions trading system on the price of electricity : An econometric analysis of the Nordic electricity market. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71421
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Eriksson, Andreas. “The impact of EU the emissions trading system on the price of electricity : An econometric analysis of the Nordic electricity market.” 2018. Thesis, Luleå University of Technology. Accessed December 06, 2019.
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71421.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Eriksson, Andreas. “The impact of EU the emissions trading system on the price of electricity : An econometric analysis of the Nordic electricity market.” 2018. Web. 06 Dec 2019.
Vancouver:
Eriksson A. The impact of EU the emissions trading system on the price of electricity : An econometric analysis of the Nordic electricity market. [Internet] [Thesis]. Luleå University of Technology; 2018. [cited 2019 Dec 06].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71421.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Eriksson A. The impact of EU the emissions trading system on the price of electricity : An econometric analysis of the Nordic electricity market. [Thesis]. Luleå University of Technology; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71421
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University
17.
Shahriari, Mehdi.
Spatial and Temporal Analysis of Renewable Power Generation Portfolios.
Degree: 2018, Penn State University
URL: https://etda.libraries.psu.edu/catalog/15201mys5724
► The increase in renewable energy nameplate capacity has resulted in significant rise in net electricity generation from renewable sources. This increased renewable power penetration results…
(more)
▼ The increase in renewable energy nameplate capacity has resulted in significant rise in net
electricity generation from renewable sources. This increased renewable power penetration results in higher renewable integration cost. Since renewable generation technologies are weather dependent and their output cannot be predicted without uncertainty, the system operator needs to hold a larger portfolio of back-up power to maintain system reliability. One of the most common methods to address this drawback, is to spread wind turbines over space which tends to reduce output variability; this happens as distance between the turbines increases, the correlation between them decreases.In this study we are interested in studying the variability of interconnected wind farms over different spatial and temporal scales. The focus is mainly on analyzing the benefits of aggregation of wind generators over multiple spatial and temporal scales. We will also study the benefits of hybrid wind and solar systems and quantify the benefits of such systems. First, we incorporate a variance minimizing algorithm that sequentially connects wind farms. Our aim is to find the relationship between geographical scale and variance minimizing number of wind farms over different temporal scales. Our results show that the number of wind farms required to achieve minimum output volatility grows with spatial scale of aggregation. Further, we find that optimizing wind farm deployment to achieve output variance minimization over one-time scale does not imply minimizing output variance over other time scales.Further, we use the mean variance portfolio (MVP) theory to create optimal portfolios of wind and solar generators over various spatial and temporal scales. Our results indicate that using MVP will increase wind and solar capacity value. We observed that adding solar to wind portfolios will increase the capacity value of the portfolio and decrease portfolio risk. Creating portfolios in larger geographic areas and in regions with better renewable resources will decrease portfolio risk. Finally, we study the capacity value of wind and solar resources in
electricity capacity markets. We consider different policy structures and analyze their benefits and shortcomings. A new measure is introduced that considers the spatial variability of wind and solar generators and has the potential to increase system reliability and generators revenue from capacity markets. Our results indicate that the capacity value of renewable generation technologies varies over space and time. We then use a brute force optimization method to explore revenue opportunities for wind and solar generators in
electricity capacity
market.
Advisors/Committee Members: Seth Adam Blumsack, Dissertation Advisor.
Subjects/Keywords: Renewable Energy; Electricity Market; Portfolio Optimization
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Shahriari, M. (2018). Spatial and Temporal Analysis of Renewable Power Generation Portfolios. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15201mys5724
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Shahriari, Mehdi. “Spatial and Temporal Analysis of Renewable Power Generation Portfolios.” 2018. Thesis, Penn State University. Accessed December 06, 2019.
https://etda.libraries.psu.edu/catalog/15201mys5724.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Shahriari, Mehdi. “Spatial and Temporal Analysis of Renewable Power Generation Portfolios.” 2018. Web. 06 Dec 2019.
Vancouver:
Shahriari M. Spatial and Temporal Analysis of Renewable Power Generation Portfolios. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 Dec 06].
Available from: https://etda.libraries.psu.edu/catalog/15201mys5724.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Shahriari M. Spatial and Temporal Analysis of Renewable Power Generation Portfolios. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/15201mys5724
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales
18.
Zhai, Qiwei.
Modelling of energy storage system in the Australian electricity market.
Degree: Electrical Engineering & Telecommunications, 2018, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/60080
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51190/SOURCE02?view=true
► With the increasing integration of variable renewable energy, the electricity market supply and demand dynamics is expected to shift accordingly. Consequently, the renewable share in…
(more)
▼ With the increasing integration of variable renewable energy, the
electricity market supply and demand dynamics is expected to shift accordingly. Consequently, the renewable share in the global total energy mix is predicted to grow substantially over the next decade. This will boost the required capacity for the frequency regulation ancillary services and lead to an increase in variable renewable energy curtailment level if no action is taken. On the other hand, with the advance in the Energy Storage System (ESS) technologies, ESS is expected to play an important role in the
electricity market in a high renewable energy penetration future. However, the economic viability of the ESS depends on both the revenue streams of the
market applications and its operation cost profile (i.e. calendar life cost and cycle life cost). In this thesis, we firstly propose a dynamic ESS revenue estimation method and investigate and quantity the ESS’s revenue opportunities in the
electricity spot
market (price arbitrage) and frequency regulation ancillary service markets while the ESS is assumed to have a quick charge and discharge capability.While electric vehicle (EV) is gaining more popularity, a collection of retired EV battery packs provides an economic option for meeting the additional frequency regulation needs. We then propose a ESS
market operation model that takes into account of both the revenue streams of the spot
market and the frequency regulation ancillary service markets, and the ESS operation cost profile (a battery operation cost estimator is built to evaluate the potential impacts of
market operations on battery lifespan). Specifically, the model is designed for retired EV lithium batteries under the Australian national
electricity market framework.Finally, a hybrid ESS sizing framework is proposed for the combined wind-storage system. The operation is fully driven by the revenue opportunities including price arbitrage and storing curtailed wind energy and the ESS cost profile. The hybrid ESS sizing framework scales two distinctive types of ESSs (collectively a hybrid ESS) simultaneously and is analysed under different
market frameworks and generation mixes.
Advisors/Committee Members: Dong, Zhao Yang, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW, Ke, Meng, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW, Anderson, Edward, Business School, USYD.
Subjects/Keywords: Renewable energy; Electricity market; energy storage
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zhai, Q. (2018). Modelling of energy storage system in the Australian electricity market. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51190/SOURCE02?view=true
Chicago Manual of Style (16th Edition):
Zhai, Qiwei. “Modelling of energy storage system in the Australian electricity market.” 2018. Doctoral Dissertation, University of New South Wales. Accessed December 06, 2019.
http://handle.unsw.edu.au/1959.4/60080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51190/SOURCE02?view=true.
MLA Handbook (7th Edition):
Zhai, Qiwei. “Modelling of energy storage system in the Australian electricity market.” 2018. Web. 06 Dec 2019.
Vancouver:
Zhai Q. Modelling of energy storage system in the Australian electricity market. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 Dec 06].
Available from: http://handle.unsw.edu.au/1959.4/60080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51190/SOURCE02?view=true.
Council of Science Editors:
Zhai Q. Modelling of energy storage system in the Australian electricity market. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60080 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51190/SOURCE02?view=true

University of Manchester
19.
Zainudin, Wan Nur Rahini Aznie Binti.
Essays on Australian wholesale electricity price spikes and the Australian pre-dispatch process.
Degree: PhD, 2014, University of Manchester
URL: https://www.research.manchester.ac.uk/portal/en/theses/essays-on-australian-wholesale-electricity-price-spikes-and-the-australian-predispatch-process(7e41cd18-2bf7-49bd-aeb7-c7c5f1b567fa).html
;
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603134
► In the first essay I examine whether the occurrences of the extreme price events display any regularities that can be captured using an econometric model.…
(more)
▼ In the first essay I examine whether the occurrences of the extreme price events display any regularities that can be captured using an econometric model. Here I treat these price events as point processes and apply Hawkes and Poisson autoregressive models to model the dynamics in the intensity of this process. I use load and meteorological information to model the time variation in the intensity of the process. The models are applied to data from the Australian wholesale electricity market, and a forecasting exercise illustrates both the usefulness of these models and their limitations when attempting to forecast the occurrence of extreme price events. In the second essays I explain that in the past doubts have been raised as to whether the pre-dispatch process in Australia Electricity Market is able to give market participants and market operator good and timely quantity and price information. It is the purpose of the second essay to introduce a framework to analyse whether the pre-dispatch process is delivering biased predictions of the actual wholesale spot price outcomes. Here I investigate the bias by comparing the actual wholesale market spot price outcome to pre-dispatch sensitivity prices established the day before dispatch and on the day of dispatch. I observe a significant bias (mainly indicating that the pre-dispatch process tends to underestimate spot price outcomes) and I further establish the seasonality features of the bias across seasons and/or trading periods. I also establish changes in bias across the years in our sample period (1999 to 2007). In the formal setting of an ordered probit model I establish that there are some exogenous variables that are able to explain increased probabilities of over- or under-predictions of the spot price. It transpires that meteorological data, expected pre-dispatch prices and information on past over- and under-predictions contribute significantly to explaining variation in the probabilities for over- and under-predictions. The results allow me to conjecture that some of the bids and re-bids provided by electricity generators are not made in good faith. Finally, the third essay investigates whether information from this pre-dispatch process can be useful when predicting next-day price spikes. In a preliminary analysis I establish the effect of pre-dispatch prices on the quantiles of the spot price distribution. A Quantile regression approach reveals that higher pre-dispatch prices signal only to a certain extent an increased probability of higher spot price outcomes. They also signal a higher uncertainty about the resulting spot price outcomes. I further establish whether the inclusion of information from the pre-dispatch process can significantly improve the predictability of price spikes when these are modelled as a point process (as in the first essay). The models used here are Hawkes and Poisson autoregressive models which allow for time variation (correlated to exogenous information) in the intensity process that governs the occurrence of price spikes. It…
Subjects/Keywords: 658.8; Electricity, Price Spikes, Australia National Electricity Market
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zainudin, W. N. R. A. B. (2014). Essays on Australian wholesale electricity price spikes and the Australian pre-dispatch process. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/essays-on-australian-wholesale-electricity-price-spikes-and-the-australian-predispatch-process(7e41cd18-2bf7-49bd-aeb7-c7c5f1b567fa).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603134
Chicago Manual of Style (16th Edition):
Zainudin, Wan Nur Rahini Aznie Binti. “Essays on Australian wholesale electricity price spikes and the Australian pre-dispatch process.” 2014. Doctoral Dissertation, University of Manchester. Accessed December 06, 2019.
https://www.research.manchester.ac.uk/portal/en/theses/essays-on-australian-wholesale-electricity-price-spikes-and-the-australian-predispatch-process(7e41cd18-2bf7-49bd-aeb7-c7c5f1b567fa).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603134.
MLA Handbook (7th Edition):
Zainudin, Wan Nur Rahini Aznie Binti. “Essays on Australian wholesale electricity price spikes and the Australian pre-dispatch process.” 2014. Web. 06 Dec 2019.
Vancouver:
Zainudin WNRAB. Essays on Australian wholesale electricity price spikes and the Australian pre-dispatch process. [Internet] [Doctoral dissertation]. University of Manchester; 2014. [cited 2019 Dec 06].
Available from: https://www.research.manchester.ac.uk/portal/en/theses/essays-on-australian-wholesale-electricity-price-spikes-and-the-australian-predispatch-process(7e41cd18-2bf7-49bd-aeb7-c7c5f1b567fa).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603134.
Council of Science Editors:
Zainudin WNRAB. Essays on Australian wholesale electricity price spikes and the Australian pre-dispatch process. [Doctoral Dissertation]. University of Manchester; 2014. Available from: https://www.research.manchester.ac.uk/portal/en/theses/essays-on-australian-wholesale-electricity-price-spikes-and-the-australian-predispatch-process(7e41cd18-2bf7-49bd-aeb7-c7c5f1b567fa).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603134

University of New South Wales
20.
Yang, Jiajia.
Electricity Retailing Decision Making Based on Data Mining Techniques.
Degree: Electrical Engineering & Telecommunications, 2018, University of New South Wales
URL: http://handle.unsw.edu.au/1959.4/60030
;
https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51106/SOURCE2?view=true
► With the continuous development of Smart Grid, especially the emergence of Energy Internet, there is an increasing amount of measurement data available collected from power…
(more)
▼ With the continuous development of Smart Grid, especially the emergence of Energy Internet, there is an increasing amount of measurement data available collected from power system end-users. Through data mining techniques, these measurement data can enable a better understanding of the load composition and end-user consumption behaviours, and therefore would provide great potentials for developing more flexible and targeted or even customized pricing schemes for
electricity retail. This research starts with a comprehensive literature survey on decision-making for
electricity retailers. Publications on
electricity retailing in the last two decades are surveyed and discussed in detail. Then, key business framework of
electricity retailers is studied. It elaborates the typical business process of
electricity retailers and its procedure of creating a new sales agreement. Considering the drawbacks of existing load data mining methods, a new non-intrusive load monitoring method is proposed which is able to cope with the big load data in the Smart Grid environment. After obtained the status of all identified appliances, a statistical residential load model is developed. With this load model, the appliance identification results can be conveniently used in demand-side management and developing
electricity retailing strategies.Next, this research proposes the idea of using the results of residential appliance identification and end-user behaviour analysis to help retail pricing. The problem of designing customized pricing strategies for different residential users is investigated based on the identification results of residential electric appliances and classifications of end-users according to their consumption behaviours. A novel framework of customizing
electricity retail prices is proposed.When to customize retail prices through appliance identification, load data at least sampled at every minute is needed. Differently, this research explores another data mining technique to customize
electricity retail prices using the half-hourly sampled
electricity consumption data. A model of customizing
electricity retail prices based on load profile clustering analysis is developed.
Electricity usage data collected by the Smart Grid, Smart City (SGSC) project in Australia is used to demonstrate the feasibility and efficiency of the developed models and algorithms.
Advisors/Committee Members: Dong, Zhao Yang, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW, Ambikairajah, Eliathamby, Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW.
Subjects/Keywords: Electricity retail; Electricity market; Data mining; Retail decision-making
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Yang, J. (2018). Electricity Retailing Decision Making Based on Data Mining Techniques. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60030 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51106/SOURCE2?view=true
Chicago Manual of Style (16th Edition):
Yang, Jiajia. “Electricity Retailing Decision Making Based on Data Mining Techniques.” 2018. Doctoral Dissertation, University of New South Wales. Accessed December 06, 2019.
http://handle.unsw.edu.au/1959.4/60030 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51106/SOURCE2?view=true.
MLA Handbook (7th Edition):
Yang, Jiajia. “Electricity Retailing Decision Making Based on Data Mining Techniques.” 2018. Web. 06 Dec 2019.
Vancouver:
Yang J. Electricity Retailing Decision Making Based on Data Mining Techniques. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 Dec 06].
Available from: http://handle.unsw.edu.au/1959.4/60030 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51106/SOURCE2?view=true.
Council of Science Editors:
Yang J. Electricity Retailing Decision Making Based on Data Mining Techniques. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60030 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51106/SOURCE2?view=true

KTH
21.
Bortot, Baptiste.
Gas for Balancing of Variable Power Generation : A Systemic Case Study.
Degree: Electric Power Systems, 2014, KTH
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-144860
► With the increasing share of variable renewable generation, balancing electric powersystems could become a major concern for system operators because of their variableand hardly…
(more)
▼ With the increasing share of variable renewable generation, balancing electric powersystems could become a major concern for system operators because of their variableand hardly predictable nature. However, gas technologies appear as a solutionto provide this flexibility, but the impacts on the gas power system have hardly beeninvestigated. In this thesis, consulting reports on the subject matter, regulator suggestions andgas-electricity interaction models in scientific literature are studied and four sourcesare identified to be used for balancing: linepack, storage facilities, liquefied natural gasand intraday gas supply from adjacent areas. Then, a gas-electricity model for flexibility supply is designed and three case studies are simulated in order to analyze bothgas and electric power systems’ behaviors. In these case studies, electricity generation,contribution of gas sources and costs are analysed. The study concludes that critical situations on gas market that can occur, e.g. incases of large variation in the net electricity demand and limited availability of linepackand storage facilities, the need of intraday modulation can exceed the possibilities toprovide for it. Then, gas cannot be supplied to power plants during peak periods, andmore gas than necessary is used during off-peak periods. The case studies also showthat day-ahead forecast errors in variable renewable generation can be handled mucheasier than variations by the gas system but leads to higher costs.
Subjects/Keywords: Gas market; electricity market; variable renewables energy sources; gas-electricity interaction models
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Bortot, B. (2014). Gas for Balancing of Variable Power Generation : A Systemic Case Study. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-144860
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Bortot, Baptiste. “Gas for Balancing of Variable Power Generation : A Systemic Case Study.” 2014. Thesis, KTH. Accessed December 06, 2019.
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-144860.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Bortot, Baptiste. “Gas for Balancing of Variable Power Generation : A Systemic Case Study.” 2014. Web. 06 Dec 2019.
Vancouver:
Bortot B. Gas for Balancing of Variable Power Generation : A Systemic Case Study. [Internet] [Thesis]. KTH; 2014. [cited 2019 Dec 06].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-144860.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Bortot B. Gas for Balancing of Variable Power Generation : A Systemic Case Study. [Thesis]. KTH; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-144860
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

The Ohio State University
22.
Dakhil, Balsam.
Market Mechanisms For the Deep Integration of Renewable
Energy.
Degree: PhD, Electrical and Computer Engineering, 2019, The Ohio State University
URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1562316287366083
► In this dissertation, we study some problems concerning the integration of renewable energy. First, we design and analyze a two-stage mechanism for selling a stochastic…
(more)
▼ In this dissertation, we study some problems
concerning the integration of renewable energy. First, we design
and analyze a two-stage mechanism for selling a stochastic resource
where penalties are paid at the second stage to compensate for
shortfalls in the amounts contracted in the first stage.We consider
a setting in which a renewable generator, whose generation is a
random variable with some probability distribution, is selling its
generation to a number of flexible buyers through a two-stage
electricity market. The system operator runs an auction in which
the seller bids its probability distribution and the buyers submit
their valuation functions. The system operator inputs these bids to
a stochastic program to decide on an efficient allocation that
maximizes social welfare, and then uses Myerson's payment to price
electricity.The closed-form solution we obtain for the allocation
and payment rules of our mechanism allows us to analyze the
mechanism and prove its incentive compatibility in dominant
strategies, individual rationality, and budget balancedness.We also
investigate the sensitivity of the mechanism to the seller’s
manipulation of its distribution. We show through running some
simulations that increasing the number of buyers in the system
reduces the gains the seller obtains from manipulation.In this
work, we also analyze the effects of limited ramping capacity on
the price of
electricity. We study the problem of dynamic economic
dispatch with ramping constraints and stochastic demand, which can
ramp up or ramp down significantly due to the presence renewable
generation. In conclusion, we show the value of investing in
ramping capacity and highlight the possibility of exercising
market
powers by generators monopolizing it. Our study of the evolution of
prices in this setting leads to the understanding that limited
ramping of some generators enhances the
market power of the
flexible ones.
Advisors/Committee Members: Gupta, Abhishek (Advisor).
Subjects/Keywords: Electrical Engineering; renewable energy; electricity market; stochastic programming; auctions; electricity prices; flexibility; ramping; market power
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Dakhil, B. (2019). Market Mechanisms For the Deep Integration of Renewable
Energy. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1562316287366083
Chicago Manual of Style (16th Edition):
Dakhil, Balsam. “Market Mechanisms For the Deep Integration of Renewable
Energy.” 2019. Doctoral Dissertation, The Ohio State University. Accessed December 06, 2019.
http://rave.ohiolink.edu/etdc/view?acc_num=osu1562316287366083.
MLA Handbook (7th Edition):
Dakhil, Balsam. “Market Mechanisms For the Deep Integration of Renewable
Energy.” 2019. Web. 06 Dec 2019.
Vancouver:
Dakhil B. Market Mechanisms For the Deep Integration of Renewable
Energy. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2019 Dec 06].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1562316287366083.
Council of Science Editors:
Dakhil B. Market Mechanisms For the Deep Integration of Renewable
Energy. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1562316287366083

University of Alberta
23.
Lin, James.
Essays on Market Power in the Alberta Wholesale Electricity
Market.
Degree: PhD, Department of Economics, 2016, University of Alberta
URL: https://era.library.ualberta.ca/files/cmk61rh189
► This thesis examines market power in a deregulated electricity market, and comprises two distinct areas of research grouped into three chapters. The thesis begins by…
(more)
▼ This thesis examines market power in a deregulated
electricity market, and comprises two distinct areas of research
grouped into three chapters. The thesis begins by overviewing
electricity markets, including descriptions of uniformprice and
discriminatory-price electricity auctions (and the resulting market
power incentives), as well as carbon capture & storage
(CCS). The first model is a treatment of the economic withholding
potential arising from CCS in a uniform-price electricity auction.
A firm that engages in CCS to reduce polluting emissions, thus
reducing its carbon tax payment, must devote a fraction of
electrical capacity to that effect, removing it from the market.
This form of withholding can raise the market price of electricity,
providing additional incentive to engage in CCS. With this price
effect the carbon tax level at which the firm is indifferent
between doing CCS or not is lower compared to without, and the firm
may turn on CCS even if the carbon tax does not exceed the cost of
doing so. We also analyze CCS in a discriminatory auction, which
presents different withholding incentives than the uniform auction,
and contributes to the discussion on which format is more
desirable. The second area of research investigates allegations of
market power abuse in the Alberta electricity market, whereby firms
supposedly use public information to raise market prices higher
than would otherwise obtain. It studies how this information allows
firms to identify themselves through their price offers to their
rivals, and asks whether this knowledge affects pricing
decisions.
Subjects/Keywords: market power; electricity; Alberta; carbon capture; Market Surveillance Administrator
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Lin, J. (2016). Essays on Market Power in the Alberta Wholesale Electricity
Market. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cmk61rh189
Chicago Manual of Style (16th Edition):
Lin, James. “Essays on Market Power in the Alberta Wholesale Electricity
Market.” 2016. Doctoral Dissertation, University of Alberta. Accessed December 06, 2019.
https://era.library.ualberta.ca/files/cmk61rh189.
MLA Handbook (7th Edition):
Lin, James. “Essays on Market Power in the Alberta Wholesale Electricity
Market.” 2016. Web. 06 Dec 2019.
Vancouver:
Lin J. Essays on Market Power in the Alberta Wholesale Electricity
Market. [Internet] [Doctoral dissertation]. University of Alberta; 2016. [cited 2019 Dec 06].
Available from: https://era.library.ualberta.ca/files/cmk61rh189.
Council of Science Editors:
Lin J. Essays on Market Power in the Alberta Wholesale Electricity
Market. [Doctoral Dissertation]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/cmk61rh189

Delft University of Technology
24.
Backhaus, E.
Modeling Strategic Bidding in Congested Electricity Lines:.
Degree: 2010, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:ed2cd457-fd33-47d4-9000-478acf570465
► In many cases, congestion is a recurrent problem that exists in electricity lines since the demand, in general, steadily increases whereas lines capacity cannot increase…
(more)
▼ In many cases, congestion is a recurrent problem that exists in
electricity lines since the demand, in general, steadily increases whereas lines capacity cannot increase in small increments but only in multiple units of line capacity. Congestion in
electricity lines hampers the interconnection of local markets because the interconnection line capacity is lower than the optimal. Hence it limits the European Union goal to form a unique
electricity market while liberalization is spread. Moreover, congestion could jeopardize the benefits of liberalization, like it happened in California and in England, where Producers manipulated the
market by bidding strategically, in other words, they withheld capacity and/or ordered higher prices than marginal cost. A better understanding of the new liberalized
electricity market in order to support decision-makers to formulate sound policies is thus needed. Given the complexity of these markets, simulation seems to be a promising tool to provide an understanding thereof
Advisors/Committee Members: De Vries, L.J., Nikolic, I., Cunningham, S..
Subjects/Keywords: agent-based simulation; electricity market; congestion management; market power
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Backhaus, E. (2010). Modeling Strategic Bidding in Congested Electricity Lines:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ed2cd457-fd33-47d4-9000-478acf570465
Chicago Manual of Style (16th Edition):
Backhaus, E. “Modeling Strategic Bidding in Congested Electricity Lines:.” 2010. Masters Thesis, Delft University of Technology. Accessed December 06, 2019.
http://resolver.tudelft.nl/uuid:ed2cd457-fd33-47d4-9000-478acf570465.
MLA Handbook (7th Edition):
Backhaus, E. “Modeling Strategic Bidding in Congested Electricity Lines:.” 2010. Web. 06 Dec 2019.
Vancouver:
Backhaus E. Modeling Strategic Bidding in Congested Electricity Lines:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2019 Dec 06].
Available from: http://resolver.tudelft.nl/uuid:ed2cd457-fd33-47d4-9000-478acf570465.
Council of Science Editors:
Backhaus E. Modeling Strategic Bidding in Congested Electricity Lines:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:ed2cd457-fd33-47d4-9000-478acf570465

University of Arizona
25.
Subramaniam, Thiagarajah Natchie.
Essays in Market Power Mitigation and Supply Function Equilibrium
.
Degree: 2014, University of Arizona
URL: http://hdl.handle.net/10150/321578
► Market power mitigation has been an integral part of wholesale electricity markets since deregulation. In wholesale electricity markets, different regions in the US take different…
(more)
▼ Market power mitigation has been an integral part of wholesale
electricity markets since deregulation. In wholesale
electricity markets, different regions in the US take different approaches to regulating
market power. While the exercise of
market power has received considerable attention in the literature, the issue of
market power mitigation has attracted scant attention. In the first chapter, I examine the
market power mitigation rules used in New York ISO (Independent System Operator) and California ISO (CAISO) with respect to day-ahead and real-time energy markets. I test whether markups associated with New York in-city generators would be lower with an alternative approach to mitigation, the CAISO approach. Results indicate the difference in markups between these two mitigation rules is driven by the shape of residual demand curves for suppliers. Analysis of residual demand curves faced by New York in-city suppliers show similar markups under both mitigation rules when no one supplier is necessary to meet the demand (i.e., when no supplier is pivotal). However, when some supplier is crucial for the
market to clear, the mitigation rule adopted by the NYISO consistently leads to higher markups than would the CAISO rule. This result suggest that
market power episodes in New York is confined to periods where some supplier is pivotal. As a result, I find that applying the CAISOs' mitigation rules to the New York
market could lower wholesale
electricity prices by 18%. The second chapter of my dissertation focuses on supply function equilibrium. In power markets, suppliers submit offer curves in auctions, indicating their willingness to supply at different price levels. Although firms are allowed to submit different offer curves for different time periods, surprisingly many firms stick to a single offer curve for the entire day. This essentially means that firms are submitting a single offer curve for multiple demand realizations. A suitable framework to analyze such oligopolistic competition between power
market suppliers is supply function equilibrium models. Using detailed bidding data, I develop equilibrium in supply functions by restricting supplier offers to a class of supply functions. By collating equilibrium supply functions corresponding to different realizations of demand, I obtain a single optimal supply function for the entire day. Then I compare the resulting supply function with actual day-ahead offers in New York. In addition to supply function equilibrium, I also develop a conservative bidding approach in which each firm assumes that rivals bid at marginal costs. Results show that the supply functions derived from equilibrium bidding model in this paper is not consistent with actual bidding in New York. This result is mainly driven by the class of supply functions used in this study to generate the equilibrium. Further, actual offers do not resemble offers generated by the conservative bidding algorithm.
Advisors/Committee Members: Gowrisankaran, Gautam (advisor), Thompson, Gary D (advisor), Gowrisankaran, Gautam (committeemember), Thompson, Gary D. (committeemember), Reynolds, Stanley S. (committeemember), Langer, Ashley A. (committeemember), Lemoine, Derek M. (committeemember), Aradhyula, Satheesh V. (committeemember).
Subjects/Keywords: Electricity Markets;
Market Mitigation Rules;
Market Power;
Economics;
Deregulation
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Subramaniam, T. N. (2014). Essays in Market Power Mitigation and Supply Function Equilibrium
. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/321578
Chicago Manual of Style (16th Edition):
Subramaniam, Thiagarajah Natchie. “Essays in Market Power Mitigation and Supply Function Equilibrium
.” 2014. Doctoral Dissertation, University of Arizona. Accessed December 06, 2019.
http://hdl.handle.net/10150/321578.
MLA Handbook (7th Edition):
Subramaniam, Thiagarajah Natchie. “Essays in Market Power Mitigation and Supply Function Equilibrium
.” 2014. Web. 06 Dec 2019.
Vancouver:
Subramaniam TN. Essays in Market Power Mitigation and Supply Function Equilibrium
. [Internet] [Doctoral dissertation]. University of Arizona; 2014. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/10150/321578.
Council of Science Editors:
Subramaniam TN. Essays in Market Power Mitigation and Supply Function Equilibrium
. [Doctoral Dissertation]. University of Arizona; 2014. Available from: http://hdl.handle.net/10150/321578
26.
Abbasy, A.
National Design and Multinational Integration of Balancing Services Markets.
Degree: 2012, Next Generation Infrastructures Foundation
URL: http://resolver.tudelft.nl/uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf
;
urn:NBN:nl:ui:24-uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf
;
urn:NBN:nl:ui:24-uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf
;
http://resolver.tudelft.nl/uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf
► The “balancing market” in the liberalized electricity sector of today is the tool in the hands of the system operator to balance generation and consumption…
(more)
▼ The “balancing market” in the liberalized
electricity sector of today is the tool in the hands of the system operator to balance generation and consumption in the grid and ensure system security. This dissertation addresses
market design issues of balancing services markets from a national perspective, and uses the findings to make practical conclusions about how to integrate the markets at an international level and create regional/multinational markets for balancing services.
Advisors/Committee Members: Weijnen, M..
Subjects/Keywords: balancing market; electricity; market design
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Abbasy, A. (2012). National Design and Multinational Integration of Balancing Services Markets. (Doctoral Dissertation). Next Generation Infrastructures Foundation. Retrieved from http://resolver.tudelft.nl/uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; urn:NBN:nl:ui:24-uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; urn:NBN:nl:ui:24-uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; http://resolver.tudelft.nl/uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf
Chicago Manual of Style (16th Edition):
Abbasy, A. “National Design and Multinational Integration of Balancing Services Markets.” 2012. Doctoral Dissertation, Next Generation Infrastructures Foundation. Accessed December 06, 2019.
http://resolver.tudelft.nl/uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; urn:NBN:nl:ui:24-uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; urn:NBN:nl:ui:24-uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; http://resolver.tudelft.nl/uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf.
MLA Handbook (7th Edition):
Abbasy, A. “National Design and Multinational Integration of Balancing Services Markets.” 2012. Web. 06 Dec 2019.
Vancouver:
Abbasy A. National Design and Multinational Integration of Balancing Services Markets. [Internet] [Doctoral dissertation]. Next Generation Infrastructures Foundation; 2012. [cited 2019 Dec 06].
Available from: http://resolver.tudelft.nl/uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; urn:NBN:nl:ui:24-uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; urn:NBN:nl:ui:24-uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; http://resolver.tudelft.nl/uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf.
Council of Science Editors:
Abbasy A. National Design and Multinational Integration of Balancing Services Markets. [Doctoral Dissertation]. Next Generation Infrastructures Foundation; 2012. Available from: http://resolver.tudelft.nl/uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; urn:NBN:nl:ui:24-uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; urn:NBN:nl:ui:24-uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf ; http://resolver.tudelft.nl/uuid:71f7138f-3af2-4bc3-b035-a3e42b3cafaf

University of Saskatchewan
27.
Yan, Xing.
Electricity market clearing price forecasting under a deregulated electricity market.
Degree: 2009, University of Saskatchewan
URL: http://hdl.handle.net/10388/etd-10302009-162704
► Under deregulated electric market, electricity price is no longer set by the monopoly utility company rather it responds to the market and operating conditions. Offering…
(more)
▼ Under deregulated electric
market,
electricity price is no longer set by the monopoly utility company rather it responds to the
market and operating conditions. Offering the right amount of
electricity at the right time with the right bidding price has become the key for utility companies pursuing maximum profits under deregulated
electricity market. Therefore,
electricity market clearing price (MCP) forecasting became essential for decision making, scheduling and bidding strategy planning purposes. However, forecasting
electricity MCP is a very difficult problem due to uncertainties associated with input variables.
Neural network based approach promises to be an effective forecasting tool in an environment with high degree of non-linearity and uncertainty. Although there are several techniques
available for short-term MCP forecasting, very little has been done to do mid-term MCP forecasting. Two new artificial neural networks have been proposed and reported in this thesis
that can be utilized to forecast mid-term daily peak and mid-term hourly
electricity MCP. The proposed neural networks can simulate the
electricity MCP with
electricity hourly demand,
electricity daily peak demand, natural gas price and precipitation as input variables. Two situations have been considered;
electricity MCP forecasting under real deregulated electric
market and
electricity MCP forecasting under deregulated electric
market with perfect competition. The PJM interconnect system has been utilized for numerical results. Techniques
have been developed to overcome difficulties in training the neural network and improve the training results.
Advisors/Committee Members: Chowdhury, Nurul A., Chen, L., Faired, S. O., Boulfiza, M..
Subjects/Keywords: Electricity Market Clearing Price Forecasting; Neural network; Mid-term MCP forecasting; Deregulated electricity market; Competitive market
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Yan, X. (2009). Electricity market clearing price forecasting under a deregulated electricity market. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-10302009-162704
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Yan, Xing. “Electricity market clearing price forecasting under a deregulated electricity market.” 2009. Thesis, University of Saskatchewan. Accessed December 06, 2019.
http://hdl.handle.net/10388/etd-10302009-162704.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Yan, Xing. “Electricity market clearing price forecasting under a deregulated electricity market.” 2009. Web. 06 Dec 2019.
Vancouver:
Yan X. Electricity market clearing price forecasting under a deregulated electricity market. [Internet] [Thesis]. University of Saskatchewan; 2009. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/10388/etd-10302009-162704.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Yan X. Electricity market clearing price forecasting under a deregulated electricity market. [Thesis]. University of Saskatchewan; 2009. Available from: http://hdl.handle.net/10388/etd-10302009-162704
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Luleå University of Technology
28.
Ölund, Kristina.
Market concentration in the Nordic wholesale electricity market.
Degree: 2010, Luleå University of Technology
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59061
► The purpose of this thesis was to study and compare the concentration and dominance in the Swedish and Nordic wholesale electricity markets by applying…
(more)
▼ The purpose of this thesis was to study and compare the concentration and dominance in the Swedish and Nordic wholesale electricity markets by applying two structural measures to assess the markets: the Herfindahl- Hirschman Index and a measure for dominance. The purpose was, furthermore, to compare the two measures and examine how the measures correspond to changes in markets share distributions. The calculations were performed using data on market shares based on the production of the largest electricity producers in 2007. The result for the Swedish market was a high HHI which indicates a highly concentrated market. According to the measure of dominance, the largest firm could be said to hold a dominant position. The Nordic market was characterized by a low HHI, hence a low market concentration and there was no dominant firm. The measures responded differently to changes in market shares.
Validerat; 20101217 (root)
Subjects/Keywords: Social Behaviour Law; Market concentration; nordic electricity market; market; dominance; nationalekonomi; samhällsvetenskap; Samhälls-; beteendevetenskap; juridik
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ölund, K. (2010). Market concentration in the Nordic wholesale electricity market. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59061
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Ölund, Kristina. “Market concentration in the Nordic wholesale electricity market.” 2010. Thesis, Luleå University of Technology. Accessed December 06, 2019.
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59061.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Ölund, Kristina. “Market concentration in the Nordic wholesale electricity market.” 2010. Web. 06 Dec 2019.
Vancouver:
Ölund K. Market concentration in the Nordic wholesale electricity market. [Internet] [Thesis]. Luleå University of Technology; 2010. [cited 2019 Dec 06].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59061.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Ölund K. Market concentration in the Nordic wholesale electricity market. [Thesis]. Luleå University of Technology; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59061
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University
29.
Chen, Xu.
demand response and generation capacity investment in the
electricity market.
Degree: PhD, Energy and Mineral Engineering, 2013, Penn State University
URL: https://etda.libraries.psu.edu/catalog/19632
► Demand Response (DR) plays an important role in electricity markets by reducing peak load, deferring costly infrastructure upgrades and enhancing system reliability. Most DR programs…
(more)
▼ Demand Response (DR) plays an important role in
electricity markets by reducing peak load, deferring costly
infrastructure upgrades and enhancing system reliability. Most DR
programs rely on a historically determined customer baseline load
(CBL). Such CBLs may be vulnerable to undetermined consumer
manipulation. On the supply side, many U.S. states have
restructured their electricity systems and created open markets in
electricity generation. Concerns have been raised about whether
restructured markets will create sufficient incentives for
investment. In response, several Regional Transmission
Organizations have created markets for capacity to induce
investment. At the same time, many states have imposed renewable
portfolio standards, proponents of which assert that the investment
of renewables has a benefit of reducing the investment of thermal
capacity. Yet the effects of restructuring, capacity markets, and
renewable energy on thermal generation capacity have not been
empirically tested. The first chapter examines a DR data set from
the energy market in southeastern Pennsylvania in PJM between 2010
and 2011. Results shows that the CBL can be systematically higher
than DR participants’ estimated load, indicating the existence of
the implementation of DR manipulation strategies. The second
chapter also simulates over-consumption and idiosyncratic-demand
bidding manipulations in the DR process. The simulation result
indicates that FERC Order 745 increases over-consumption incentive
by 10 times and increases the manipulation profit 10 to 100 times
compared with the LMP minus retail rate (RR) payment. In light of
the incentives for manipulation, the order may need to be
reconsidered. In the third chapter, we employ the state level
capacity investment data in the U.S. between 1990 and 2010 to
analyze the state-level investment behaviors. Our results imply
that restructured states do not have significantly different
per-capita capacity investment levels compared with regulated
states. Results fail to support the hypothesis that capacity
markets increase electricity generation investment. Indeed, results
from six regressions show that less investment is expected in
states with higher capacity payments. Our results also do not
support the argument that wind and solar renewables reduce thermal
capacity investment.
Subjects/Keywords: Demand response; Customer baseline load (CBL); Market
manipulation; Electricity markets; electricity
restructuring
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Chen, X. (2013). demand response and generation capacity investment in the
electricity market. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/19632
Chicago Manual of Style (16th Edition):
Chen, Xu. “demand response and generation capacity investment in the
electricity market.” 2013. Doctoral Dissertation, Penn State University. Accessed December 06, 2019.
https://etda.libraries.psu.edu/catalog/19632.
MLA Handbook (7th Edition):
Chen, Xu. “demand response and generation capacity investment in the
electricity market.” 2013. Web. 06 Dec 2019.
Vancouver:
Chen X. demand response and generation capacity investment in the
electricity market. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Dec 06].
Available from: https://etda.libraries.psu.edu/catalog/19632.
Council of Science Editors:
Chen X. demand response and generation capacity investment in the
electricity market. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/19632
30.
Kan, Sichao.
Analysis on the Effects of Environmental Policies for Deregulated Electricity Market using Multi-Agent Model : マルチエージェントモデルを用いた自由化された電力市場における環境政策の効果分析.
Degree: 修士(工学), 2017, The University of Tokyo / 東京大学
URL: http://hdl.handle.net/2261/28099
► Power generation by the combustion of fossil fuels is a major source of Greenhouse Gas (GHG) emissions.As a study shows that in fiscal year 2005,…
(more)
▼ Power generation by the combustion of fossil fuels is a major source of Greenhouse Gas (GHG) emissions.As a study shows that in fiscal year 2005, 38% of Japan’s CO2 emissions came from power generation [1].Therefore, how to mitigate the Greenhouse Gas (GHG) emissions from the power sector is critical to anation’s overall environmental achievement./ With no doubt that environmental regulations will rise generation cost. Policy makers have to make sure that the increased electricity price is within the range that is acceptable both by power companies and by customers, and meanwhile achieve the most CO2 emissions reduction. To achieve this goal is not easy, especially when facing a liberalized electricity market, making the problem more complicated. / In order to gain insights into the changes of electricity market due to certain environmental policies and to assess the effectiveness of the policies, this work employed a multi-agent based model to simulate the liberalized electricity market under environmental regulations./ In the first chapter we gave a brief introduction of the global warming by focusing on the global power generation sector. The current electricity market of Japan, based on which our simulation was conducted was also introduced in this chapter./ The description of the basic elements of our model was given in the second chapter. Our model was developed based on multi-agent with the suppliers modeled as self-adaptive agents using Reinforcement Learning algorithm./ In the third chapter, we developed the model to evaluate the Carbon Tax and the Emission Trading policies. From the simulation results, the changes of market performance with the increasing of environmental cost were discussed. And the effectiveness of these policies on CO2 emissions reduction was also investigated. The simulation of this chapter was based on the wholesale electricity market of Japan, which has been fully liberalized./ Based on the model in chapter 2, we built a model for assessing the CO2 free electricity trading in chapter 4. The pilot trading has been started in the JEPX (Japan Electric Power Exchange), so the simulation of this chapter was based on the JEPX. We discussed how the suppliers and the demander changed their actions after the introduce of the CO2 free market. In this chapter the results of our model were also be compared to the results got by using the least-cost approach./ At last in the fifth chapter was the conclusions of this study and the future works.
Subjects/Keywords: Deregulated electricity market; Multi-agent; Carbon tax; Emission trading; CO2 free electricity trading
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kan, S. (2017). Analysis on the Effects of Environmental Policies for Deregulated Electricity Market using Multi-Agent Model : マルチエージェントモデルを用いた自由化された電力市場における環境政策の効果分析. (Thesis). The University of Tokyo / 東京大学. Retrieved from http://hdl.handle.net/2261/28099
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kan, Sichao. “Analysis on the Effects of Environmental Policies for Deregulated Electricity Market using Multi-Agent Model : マルチエージェントモデルを用いた自由化された電力市場における環境政策の効果分析.” 2017. Thesis, The University of Tokyo / 東京大学. Accessed December 06, 2019.
http://hdl.handle.net/2261/28099.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kan, Sichao. “Analysis on the Effects of Environmental Policies for Deregulated Electricity Market using Multi-Agent Model : マルチエージェントモデルを用いた自由化された電力市場における環境政策の効果分析.” 2017. Web. 06 Dec 2019.
Vancouver:
Kan S. Analysis on the Effects of Environmental Policies for Deregulated Electricity Market using Multi-Agent Model : マルチエージェントモデルを用いた自由化された電力市場における環境政策の効果分析. [Internet] [Thesis]. The University of Tokyo / 東京大学; 2017. [cited 2019 Dec 06].
Available from: http://hdl.handle.net/2261/28099.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kan S. Analysis on the Effects of Environmental Policies for Deregulated Electricity Market using Multi-Agent Model : マルチエージェントモデルを用いた自由化された電力市場における環境政策の効果分析. [Thesis]. The University of Tokyo / 東京大学; 2017. Available from: http://hdl.handle.net/2261/28099
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
◁ [1] [2] [3] [4] [5] … [11] ▶
.