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University of KwaZulu-Natal
1.
Mbanjwa, Thobile.
An analysis of electricity theft : the case study of KwaXimba in eThekwini, KwaZulu-Natal.
Degree: 2017, University of KwaZulu-Natal
URL: http://hdl.handle.net/10413/16105 
► The illegal consumption of electricity is deemed a criminal offence that is punishable. Even so, there exist high levels of theft of electricity till date.…
(more)
▼ The illegal consumption of
electricity is deemed a criminal offence that is punishable. Even so, there exist high levels of
theft of
electricity till date. Illegal
electricity can be dangerous in nature due to the nature of its installation. These connections are done by non-expert persons and some of the safety precautions are not followed through. As a result, communities suffer the consequences. This study intended to identify the motivations behind the illegal consumption of
electricity in the KwaXimba community. An investigation is also done on what are the effects of the
theft of
electricity on the community. This was a deliberate attempt to uncover whether communities are aware of such dangers. Eskom is aware of such and has a number of preventative measures against the
theft of
electricity, in place. This study aimed to investigate, the strategies in place in an attempt to curb
electricity theft.
This study investigated the illegal connections of
electricity in KwaXimba. The main objective of the study was to determine the major cause of
electricity theft in KwaXimba, the approaches implemented to reduce the rise in
electricity theft moreover, it aimed to evaluate the effects
electricity theft has on
electricity supply and the community. In order to achieve this, the qualitative approaches were used. Interviews were conducted on participants that were purposively selected. The data was then analysed thematically.
Findings of this study revealed that the issue of
electricity theft in the community was a structural issue. The issue of
theft is normalised within the community. The study revealed that individuals steal
electricity based on personal decisions and preferences. Another factor was that it is acceptable to steal
electricity in the community. The minority of the members stole
electricity because they had bought houses that had readily stolen
electricity.
The researcher deduced some recommendations from the study, for one, an electrification program should be made to save both Eskom Revenue from illegal consumption and to save the lives of the community members especially the vulnerable group, children who fall victims to exposed cables. Also, organisations such as community safety and Eskom should formulate programs that are aimed towards de-normalising the act of
electricity theft in the community of KwaXimba and across other communities.
Advisors/Committee Members: Mkhize, Sazelo Michael. (advisor).
Subjects/Keywords: Electricity theft.; Illegal electricity.; Eskom revenue.; Izinyokanyoka.
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APA (6th Edition):
Mbanjwa, T. (2017). An analysis of electricity theft : the case study of KwaXimba in eThekwini, KwaZulu-Natal. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/16105
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):
Mbanjwa, Thobile. “An analysis of electricity theft : the case study of KwaXimba in eThekwini, KwaZulu-Natal.” 2017. Thesis, University of KwaZulu-Natal. Accessed January 25, 2021.
http://hdl.handle.net/10413/16105.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Mbanjwa, Thobile. “An analysis of electricity theft : the case study of KwaXimba in eThekwini, KwaZulu-Natal.” 2017. Web. 25 Jan 2021.
Vancouver:
Mbanjwa T. An analysis of electricity theft : the case study of KwaXimba in eThekwini, KwaZulu-Natal. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2021 Jan 25].
Available from: http://hdl.handle.net/10413/16105.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Mbanjwa T. An analysis of electricity theft : the case study of KwaXimba in eThekwini, KwaZulu-Natal. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/16105
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of South Africa
2.
Chetty, Vanisha Gonasagaree.
The combating of unauthorised electrical connections in Kwazulu-Natal, South Africa
.
Degree: 2018, University of South Africa
URL: http://hdl.handle.net/10500/25009
► This study was conducted owing to the protracted problem and challenges that unauthorised electrical connections pose to electricity utilities. This study sought to contribute to…
(more)
▼ This study was conducted owing to the protracted problem and challenges that unauthorised electrical connections pose to
electricity utilities. This study sought to contribute to the combating of unauthorised electrical connections in KwaZulu-Natal, South Africa, which has never before been studied in this manner. Considerable revenue is stolen from utilities because of unauthorised electrical connections, by-passing of electrical meters and tampering with
electricity networks. This contributes to public safety risks, fatalities, property damage and overloading of electrical networks. This in turn causes transformer and
electricity network overload and power supply failure, prolonged unplanned power cuts, loss of jobs, food security risk, serious poor economic development, damaged electrical infrastructure, loss of revenue,
electricity disruptions, electric shock, and the burning of dwellings. This leads to the interruption of supply to legal and compliant customers, all with disastrous effects. It is therefore difficult to manage the supply and demand of
electricity under these circumstances, more especially in this period when South Africa faces a tight
electricity supply.
In this dissertation, the international and national perspectives reveal the nature and extent of unauthorised electrical connections. It was explored how unauthorised electrical connections are presently being combated and what specific security measures may be implemented to enhance the combating of unauthorised electrical connections.
A case study design was used to investigate in greater detail the opinions, views, perceptions and experiences of the targeted interviewees using interviewing, site observation and case docket analysis. This design guided the use of specific sample groups, procedures and techniques used for data collection and analysis. The design and development of the different data collection instruments and the piloting of the instruments were implemented to ensure validity, reliability, accuracy and trustworthiness of the collected information.
The study produced findings to assist
electricity utilities to better manage this phenomenon. Recommendations were formulated to assist stakeholders to improve their roles in the combating of unauthorised electrical connections.; Hierdie studie is uitgevoer na aanleiding van die uitgerekte probleem en uitdagings van onwettige elektrisiteitsverbindings vir elektrisiteitsvoorsieners. Hierdie studie poog om by te dra om onwettige elektrisiteitsverbindings in KwaZulu-Natal, Suid-Afrika te beveg; dit is nog nooit tevore op hierdie wyse ondersoek nie. Beduidende inkomste word van diensmaatskappye gesteel as gevolg van onwettige elektrisiteitsverbindings, die wat elektriese meters omseil en met elektrisiteitsnetwerke peuter. Dit dra tot openbare veiligheidsrisiko's, fataliteite, skade aan eiendom, en oorlading van elektrisiteitsnetwerke by. Dit lei weer tot oorlading van transformators en elektrisiteitsnetwerke, gebrek aan kragvoorsiening, verlengde onbeplande kragonderbrekings,…
Advisors/Committee Members: Govender, Doraval (advisor).
Subjects/Keywords: Combating;
Electricity utilities;
Unauthorised electrical connections;
IIlegal electrical connections;
Theft of electricity;
Fraud
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APA (6th Edition):
Chetty, V. G. (2018). The combating of unauthorised electrical connections in Kwazulu-Natal, South Africa
. (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/25009
Chicago Manual of Style (16th Edition):
Chetty, Vanisha Gonasagaree. “The combating of unauthorised electrical connections in Kwazulu-Natal, South Africa
.” 2018. Masters Thesis, University of South Africa. Accessed January 25, 2021.
http://hdl.handle.net/10500/25009.
MLA Handbook (7th Edition):
Chetty, Vanisha Gonasagaree. “The combating of unauthorised electrical connections in Kwazulu-Natal, South Africa
.” 2018. Web. 25 Jan 2021.
Vancouver:
Chetty VG. The combating of unauthorised electrical connections in Kwazulu-Natal, South Africa
. [Internet] [Masters thesis]. University of South Africa; 2018. [cited 2021 Jan 25].
Available from: http://hdl.handle.net/10500/25009.
Council of Science Editors:
Chetty VG. The combating of unauthorised electrical connections in Kwazulu-Natal, South Africa
. [Masters Thesis]. University of South Africa; 2018. Available from: http://hdl.handle.net/10500/25009
University of KwaZulu-Natal
3.
Khwela, Hlengiwe.
An exploratory study on electricity theft in Staram informal settlement in Tongaat in Durban, KwaZulu-Natal Province.
Degree: 2019, University of KwaZulu-Natal
URL: https://researchspace.ukzn.ac.za/handle/10413/18735
► This study focussed on electricity theft in Staram, an informal settlement in Tongaat, Durban, in KwaZulu-Natal. Staram was chosen as the study site as the…
(more)
▼ This study focussed on
electricity theft in Staram, an informal settlement in Tongaat, Durban, in KwaZulu-Natal. Staram was chosen as the study site as the Tongaat area has been identified as a ‘hot spot’ for
electricity theft in Durban. The objectives of the study were to (i) explore the causes of
electricity theft in Staram and (ii) assess the nature of
electricity theft in Staram; (iii) examine the challenges of responding to
electricity theft in Staram; and (iv) evaluate the current preventative measures employed for mitigating
electricity theft in Staram. Staram is divided into three sections: Endliniyomlilo, Harry and Eziweni, and the study covered all these sections. At the time of the study, Endliniyomlilo was electrified and about 12 houses had maintained their
electricity; the other two sections did not have
electricity. For this study, in-depth, face-to-face interviews were employed for data collection. This study consisted of 15 participants who were chosen on the basis that in-depth data via in-depth interviews could be elicited in order to achieve all the objectives. Five participants were selected from each of the three sections. They were chosen because they were residents in the area of study as well as victims and/or perpetrators of
electricity theft. The data were collected in February 2017.
This study was informed by Beccaria (1767) Rational Choice Theory (RCT), Shaw and McKay’s (1942) Social Disorganisation Theory (SDT), and the Chicago School of Criminology’s (1942) Economic Theory. This study used RCT and SDT in understanding the manner in which people engage themselves in
electricity theft. The Economic Theory was used to understand the causes of
electricity theft, as it is argues that criminal acts are committed in instances where the amount of gain from a crime is greater than the costs expected, while also being concerned with how society utilises its scarce resources (Becker, 1968:820). It is important to understand that
electricity theft is a global problem and it has a negative impact not only on human but also economic terms. This study determined that
electricity theft affects everyone, physically endangers people’s lives and socially, can cause an overload of the network, which can result in unplanned outages. As such,
electricity theft can negatively affect the smooth operation of traffic lights, business practices or the emergency services such as hospitals and affects the economy and puts undue strain on the municipality and the government revenue.
Advisors/Committee Members: Sibanyoni, Ephraim Kevin. (advisor).
Subjects/Keywords: Electricity theft.; Informal settlements in Durban.; Informal settlements in KwaZulu-Natal.; Cable theft.; Informal settlements.; Tongaat informal settlements.
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APA ·
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Manager
APA (6th Edition):
Khwela, H. (2019). An exploratory study on electricity theft in Staram informal settlement in Tongaat in Durban, KwaZulu-Natal Province. (Thesis). University of KwaZulu-Natal. Retrieved from https://researchspace.ukzn.ac.za/handle/10413/18735
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):
Khwela, Hlengiwe. “An exploratory study on electricity theft in Staram informal settlement in Tongaat in Durban, KwaZulu-Natal Province.” 2019. Thesis, University of KwaZulu-Natal. Accessed January 25, 2021.
https://researchspace.ukzn.ac.za/handle/10413/18735.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Khwela, Hlengiwe. “An exploratory study on electricity theft in Staram informal settlement in Tongaat in Durban, KwaZulu-Natal Province.” 2019. Web. 25 Jan 2021.
Vancouver:
Khwela H. An exploratory study on electricity theft in Staram informal settlement in Tongaat in Durban, KwaZulu-Natal Province. [Internet] [Thesis]. University of KwaZulu-Natal; 2019. [cited 2021 Jan 25].
Available from: https://researchspace.ukzn.ac.za/handle/10413/18735.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Khwela H. An exploratory study on electricity theft in Staram informal settlement in Tongaat in Durban, KwaZulu-Natal Province. [Thesis]. University of KwaZulu-Natal; 2019. Available from: https://researchspace.ukzn.ac.za/handle/10413/18735
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
NSYSU
4.
Chen, Guan-wen.
Design and Development of Value-added Functionalities for Data Concentrator Units in Advanced Metering Infrastructure.
Degree: Master, Electrical Engineering, 2016, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0421116-151146
► Advanced Metering Infrastructure (AMI) plays an important role in smart grids. Data Concentrator Unit (DCU), used to collect data from smart meter of customers and…
(more)
▼ Advanced Metering Infrastructure (AMI) plays an important role in smart grids. Data Concentrator Unit (DCU), used to collect data from smart meter of customers and transmit them to Meter Database Management System (MDMS) regularly, is the core component in AMI. If DCU can provide more advanced two-way communication and distributed computing, more efficient energy management can be achieved. Therefore, this thesis focuses on designing and developing value-added functionalities for DCU. The value-added functionalities designed in this thesis include IEC 61850 communication protocol and
electricity theft detection system. The proposed
electricity theft detection system utilizes the collected customer power consumption data to calculate the
electricity theft probability index. The possible
electricity thefts can then be found out. A windows-based Human-Machine Interface (HMI) for remote
electricity supervisory system using Manufacturing Message Specification (MMS) is also implemented. The windows-based HMI is used to acquire and monitor the collected data in the proposed value-added functionalities of DCU. An experimental DCU platform is designed to realize the proposed value-added functionalities and to simulate the feasibility of the
electricity theft probability index. Besides a commercialized software is used to verify the consistency of IEC 61850 communication protocol implemented in the proposed DCU.
Advisors/Committee Members: Ming-Yuan Cho (chair), Chun-Lien Su (chair), Wei-Da Tu (chair), Jen-Hao Teng (committee member).
Subjects/Keywords: Electricity Theft Probability Index; IEC 61850; Data Concentrator Unit; Smart Grid; Advanced Metering Infrastructure
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APA (6th Edition):
Chen, G. (2016). Design and Development of Value-added Functionalities for Data Concentrator Units in Advanced Metering Infrastructure. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0421116-151146
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):
Chen, Guan-wen. “Design and Development of Value-added Functionalities for Data Concentrator Units in Advanced Metering Infrastructure.” 2016. Thesis, NSYSU. Accessed January 25, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0421116-151146.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Chen, Guan-wen. “Design and Development of Value-added Functionalities for Data Concentrator Units in Advanced Metering Infrastructure.” 2016. Web. 25 Jan 2021.
Vancouver:
Chen G. Design and Development of Value-added Functionalities for Data Concentrator Units in Advanced Metering Infrastructure. [Internet] [Thesis]. NSYSU; 2016. [cited 2021 Jan 25].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0421116-151146.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Chen G. Design and Development of Value-added Functionalities for Data Concentrator Units in Advanced Metering Infrastructure. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0421116-151146
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
NSYSU
5.
Lee, Wei-hung.
A Study on Non-Technical Loss Detection in Distribution Systems Using Semi-Definite Programming Method based State Estimation.
Degree: Master, Communications Engineering, 2015, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0627115-144947
► Before starting the development of smart grid, the usersâ power consumption is collected by the traditional mechanical meter reading. People with bad intention remodel the…
(more)
▼ Before starting the development of smart grid, the usersâ power consumption is collected by the traditional mechanical meter reading. People with bad intention remodel the mechanical meters to make the readings inaccurate. When the power company charges for the electric bill, they get the wrong reading, and thus people can achieve the goal of stealing electric power. Stealing electric power also called non-technical loss. The stealing of electric power is a critical issue to be solved. In the future, a smart meter can immediately monitoring the whole system and get the instant operating data. By properly using the data from smart meters, the correctness of the operation data can be guaranteed.
In this thesis, we consider state estimation to detect tampering data. Conventionally, weighted least-squared error based state estimation is used. In order to obtain better state estimation solution, we use semi-definite programming to solve this problem. The convex semi-definite relaxation (SDR) technique is further pursued to render the nonconvex R-SE problem efficiently solvable. Compared with the conventional Newton's method, the semi-definite programming can achieve the global optimal solution rather than local optimal solutions. A transmission system and distribution system are performed to validate the effectiveness of this method. After the detection, the historical data is used to verify the possibility of anomalies. The integration of state estimation using on the received measured value and probability model using on the historical data can give a good trace of the users. The proposed process that involves stealing detection, confirm suspect, and data correction can solve the non-technical loss problem.
Advisors/Committee Members: Pang-An Ting (chair), Chun-Lien Su (chair), Shang-Ho Tsai (chair), Kuang-Hao Liu (chair), Chao-Kai Wen (committee member).
Subjects/Keywords: Advanced metering infrastructure (AMI); Power system state estimation; Semi-definite relaxation; Non-technical loss; Electricity theft detection
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APA ·
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APA (6th Edition):
Lee, W. (2015). A Study on Non-Technical Loss Detection in Distribution Systems Using Semi-Definite Programming Method based State Estimation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0627115-144947
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):
Lee, Wei-hung. “A Study on Non-Technical Loss Detection in Distribution Systems Using Semi-Definite Programming Method based State Estimation.” 2015. Thesis, NSYSU. Accessed January 25, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0627115-144947.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lee, Wei-hung. “A Study on Non-Technical Loss Detection in Distribution Systems Using Semi-Definite Programming Method based State Estimation.” 2015. Web. 25 Jan 2021.
Vancouver:
Lee W. A Study on Non-Technical Loss Detection in Distribution Systems Using Semi-Definite Programming Method based State Estimation. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Jan 25].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0627115-144947.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lee W. A Study on Non-Technical Loss Detection in Distribution Systems Using Semi-Definite Programming Method based State Estimation. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0627115-144947
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Université du Luxembourg
6.
Glauner, Patrick.
Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets.
Degree: 2019, Université du Luxembourg
URL: http://orbilu.uni.lu/handle/10993/38544
► Power grids are critical infrastructure assets that face non-technical losses (NTL), which include, but are not limited to, electricity theft, broken or malfunctioning meters and…
(more)
▼ Power grids are critical infrastructure assets that face non-technical losses (NTL), which include, but are not limited to,
electricity theft, broken or malfunctioning meters and arranged false meter readings. In emerging markets, NTL are a prime concern and often range up to 40% of the total
electricity distributed. The annual world-wide costs for utilities due to NTL are estimated to be around USD 100 billion. Reducing NTL in order to increase revenue, profit and reliability of the grid is therefore of vital interest to utilities and authorities. In the beginning of this thesis, we provide an in-depth discussion of the causes of NTL and the economic effects thereof. Industrial NTL detection systems are still largely based on expert knowledge when deciding whether to carry out costly on-site inspections of customers. Electric utilities are reluctant to move to large-scale deployments of automated systems that learn NTL profiles from data. This is due to the latter's propensity to suggest a large number of unnecessary inspections. In this thesis, we compare expert knowledge-based decision making systems to automated statistical decision making. We then branch out our research into different directions: First, in order to allow human experts to feed their knowledge in the decision process, we propose a method for visualizing prediction results at various granularity levels in a spatial hologram. Our approach allows domain experts to put the classification results into the context of the data and to incorporate their knowledge for making the final decisions of which customers to inspect. Second, we propose a machine learning framework that classifies customers into NTL or non-NTL using a variety of features derived from the customers' consumption data as well as a selection of master data. The methodology used is specifically tailored to the level of noise in the data. Last, we discuss the issue of biases in data sets. A bias occurs whenever training sets are not representative of the test data, which results in unreliable models. We show how quantifying and reducing these biases leads to an increased accuracy of the trained NTL detectors. This thesis has resulted in appreciable results on real-world big data sets of millions customers. Our systems are being deployed in a commercial NTL detection software. We also provide suggestions on how to further reduce NTL by not only carrying out inspections, but by implementing market reforms, increasing efficiency in the organization of utilities and improving communication between utilities, authorities and customers.
Advisors/Committee Members: State, Radu [superviser], Ottersten, Björn [president of the jury], Aouada, Djamila [member of the jury], Valtchev, Petko [member of the jury], Vogelsang, Holger [member of the jury].
Subjects/Keywords: Artificial Intelligence; Electricity theft; Non-technical losses; Engineering, computing & technology :: Computer science [C05]; Ingénierie, informatique & technologie :: Sciences informatiques [C05]
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APA ·
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Glauner, P. (2019). Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets. (Doctoral Dissertation). Université du Luxembourg. Retrieved from http://orbilu.uni.lu/handle/10993/38544
Chicago Manual of Style (16th Edition):
Glauner, Patrick. “Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets.” 2019. Doctoral Dissertation, Université du Luxembourg. Accessed January 25, 2021.
http://orbilu.uni.lu/handle/10993/38544.
MLA Handbook (7th Edition):
Glauner, Patrick. “Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets.” 2019. Web. 25 Jan 2021.
Vancouver:
Glauner P. Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets. [Internet] [Doctoral dissertation]. Université du Luxembourg; 2019. [cited 2021 Jan 25].
Available from: http://orbilu.uni.lu/handle/10993/38544.
Council of Science Editors:
Glauner P. Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets. [Doctoral Dissertation]. Université du Luxembourg; 2019. Available from: http://orbilu.uni.lu/handle/10993/38544
Ohio University
7.
Suriyamongkol, Dan.
Non-Technical losses in electrical power systems.
Degree: MS, Electrical Engineering & Computer Science
(Engineering and Technology), 2002, Ohio University
URL: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175007802
► The purpose of this thesis is to perform an introductory investigation of non-technical losses in power systems. There are losses in power systems that cannot…
(more)
▼ The purpose of this thesis is to perform an
introductory investigation of non-technical losses in power
systems. There are losses in power systems that cannot be predicted
or calculated beforehand: non-technical losses. The bulk of these
losses are likely caused by
electricity theft, rather than the
other possibilities such as poor maintenance, and calculation and
accounting mistakes, though some power systems may suffer from
both. This thesis will investigate the loss-related statistics of
one specific power system market: Thailand's rural regions.
Information presented here would include the magnitude and
characteristics of
electricity theft, as well as the utility
company's measures to curb such losses. Other topics that will be
discussed include a comparison with other nations' systems and
if-and how - can software simulations of power systems account for
non-technical losses. How popular load flow analysis methods can or
cannot account for non-technical losses would be the focus of the
latter topic.
Advisors/Committee Members: Manhire, Brian (Advisor).
Subjects/Keywords: Non-Technical Losses; Power System; Electricity Theft
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APA (6th Edition):
Suriyamongkol, D. (2002). Non-Technical losses in electrical power systems. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175007802
Chicago Manual of Style (16th Edition):
Suriyamongkol, Dan. “Non-Technical losses in electrical power systems.” 2002. Masters Thesis, Ohio University. Accessed January 25, 2021.
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175007802.
MLA Handbook (7th Edition):
Suriyamongkol, Dan. “Non-Technical losses in electrical power systems.” 2002. Web. 25 Jan 2021.
Vancouver:
Suriyamongkol D. Non-Technical losses in electrical power systems. [Internet] [Masters thesis]. Ohio University; 2002. [cited 2021 Jan 25].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175007802.
Council of Science Editors:
Suriyamongkol D. Non-Technical losses in electrical power systems. [Masters Thesis]. Ohio University; 2002. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1175007802
Universidade Federal do Maranhão
8.
EDUARDO WERLEY SILVA DOS ÂNGELOS.
DEVELOPMENT OF A SYSTEM FOR CLASSIFICATION OF ABNORMALITIES IN ELECTRICITY CONSUMPTION.
Degree: 2009, Universidade Federal do Maranhão
URL: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=370
► Este trabalho apresenta uma metodologia computacional para classificação de perfis anormais de consumo de energia elétrica. A abordagem parte da premissa que um dado cliente…
(more)
▼ Este trabalho apresenta uma metodologia computacional para classificação de perfis anormais de consumo de energia elétrica. A abordagem parte da premissa que um dado cliente deve permanecer o mais próximo possível de seu padrão de consumo histórico, sendo que os desvios do padrão registrado representam possíveis fraudes de energia ou irregularidades de medição. A parte inicial da metodologia busca de consumidores com perfis de consumo semelhantes é efetuada por meio da técnica computacional de clusterização fuzzy. Já a tarefa de mensurar o desvio do padrão histórico é realizada por meio de uma metodologia de classificação nebulosa, baseada na matriz de partição fuzzy e distância dos elementos aos centros dos agrupamentos. Por fim, as distâncias para os grupos são normalizadas, gerando um índice no intervalo unitário, sendo que os elementos de maior chance de estarem irregular são aqueles com índices mais próximos de um. A metodologia foi validada com uma base de dados de uma concessionária local. Os resultados alcançados foram satisfatórios, sendo obtida adequada performance tanto no processo de detecção de fraudes quanto irregularidades na medição.
This work proposes a computational technique for classification of electricity consumption profiles. The approach is based on the assumption that its possible to find out groups of consumers with similar patterns of energy use. So, given the found groups, which can be also viewed as a normal consumption profile, ones can associate a high chance of fraud or abnormality to that consumers lying more apart from the groups. The methodology comprises two steps. A fuzzy clustering c-means-based is done in order to search for consumers with similar consumption profiles, in the first one. Afterwards, a fuzzy classification is performed using a fuzzy membership matrix and the Euclidian distance to the cluster centers. Then, the distance measures are normalized and ordered, yielding an unitary index score, where the possible fraudulent or abnormal consumers are those with the higher scores. The approach was tested and validated with real data base, showing good performance in both fraud and metering defect detection tasks.
Advisors/Committee Members: Omar Andres Carmona Cortes, Sofiane Labidi, Osvaldo Ronald Saavedra Méndez.
Subjects/Keywords: Fuzzy Clustering; Mineração de Dados; Perdas Comerciais; Clusterização Fuzzy; Data Mining; Electricity Theft; SISTEMAS ELETRICOS DE POTENCIA; Non-technical losses; Fraude de Energia
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APA (6th Edition):
ÂNGELOS, E. W. S. D. (2009). DEVELOPMENT OF A SYSTEM FOR CLASSIFICATION OF ABNORMALITIES IN ELECTRICITY CONSUMPTION. (Thesis). Universidade Federal do Maranhão. Retrieved from http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=370
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):
ÂNGELOS, EDUARDO WERLEY SILVA DOS. “DEVELOPMENT OF A SYSTEM FOR CLASSIFICATION OF ABNORMALITIES IN ELECTRICITY CONSUMPTION.” 2009. Thesis, Universidade Federal do Maranhão. Accessed January 25, 2021.
http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=370.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
ÂNGELOS, EDUARDO WERLEY SILVA DOS. “DEVELOPMENT OF A SYSTEM FOR CLASSIFICATION OF ABNORMALITIES IN ELECTRICITY CONSUMPTION.” 2009. Web. 25 Jan 2021.
Vancouver:
ÂNGELOS EWSD. DEVELOPMENT OF A SYSTEM FOR CLASSIFICATION OF ABNORMALITIES IN ELECTRICITY CONSUMPTION. [Internet] [Thesis]. Universidade Federal do Maranhão; 2009. [cited 2021 Jan 25].
Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=370.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
ÂNGELOS EWSD. DEVELOPMENT OF A SYSTEM FOR CLASSIFICATION OF ABNORMALITIES IN ELECTRICITY CONSUMPTION. [Thesis]. Universidade Federal do Maranhão; 2009. Available from: http://www.tedebc.ufma.br//tde_busca/arquivo.php?codArquivo=370
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Pontifical Catholic University of Rio de Janeiro
9.
CLAUDIA ZUCCOLOTTO REIS.
[en] EFFECTIVENESS OF A TECHNOLOGICAL SOLUTION FOR REDUCING
ELECTRICAL ENERGY PILFERAGE IN DISTRIBUTION COMPANIES: A CASE
STUDY.
Degree: 2006, Pontifical Catholic University of Rio de Janeiro
URL: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7844
► [pt] As perdas de energia elétrica, particularmente as comerciais, constituem problema importante e complexo para as empresas distribuidoras. O problema só se apresenta de forma…
(more)
▼ [pt] As perdas de energia elétrica, particularmente as
comerciais, constituem problema importante e complexo para as
empresas distribuidoras. O problema só se apresenta de forma aguda
nos países em desenvolvimento, onde o percentual de perdas por
furto é elevado e adquire importantes conotações sociais, políticas
e culturais. Isso explica o fato de empresas brasileiras de
distribuição de energia elétrica investirem recursos apreciáveis
para mitigar esse problema e ressalta a importância de um tema
ainda pouco explorado na literatura técnico-científica. Esta
dissertação, de caráter exploratório, tem como objetivo estudar o
problema de perda de energia por desvio e a eficácia de soluções
tecnológicas investigando o caso de uma empresa e os resultados
obtidos em projeto recente. Ao tempo do estudo, a empresa
implantava uma tecnologia cujo objetivo principal era identificar
os clientes que desviam energia elétrica e, posteriormente, tornar
o processo de faturamento automatizado. O estudo partiu de algumas
questões julgadas mais relevantes, incluindo: Quanto a empresa
ganhou com a instalação desta tecnologia? Como se comporta o
consumo dos clientes antes e depois da instalação da tecnologia? Há
correlação entre o ganho da empresa e o poder aquisitivo da
população da área? Há efeito demonstração de uma área sobre suas
vizinhas? A partir destas questões foram analisadas séries de dados
referentes ao consumo medido antes e após a instalação da nova
tecnologia. Os resultados indicam a viabilidade da tecnologia como
eficaz paliativo de curto-prazo para o problema cuja solução
definitiva envolve tratamento concomitante dos aspectos sociais,
políticos e culturais.
[en] Electrical energy losses, chiefly, commercial
losses, constitute an important and complex problem for energy
distribution companies worldwide. However, only in developing
countries the problem becomes acute because theft losses are large,
and coupled with social, legal, political and cultural issues. This
explains why Brazilian energy distribution companies dedicate
sizable investments for mitigating the problem, and stresses the
importance of a theme still largely unexplored in the
technical-scientific literature. This thesis, of exploratory
nature, addresses the problem and assesses the effectiveness of
technological solutions by investigating the case of a recent
project developed in a Brazilian company. At the time of the
research, the company was implementing a new and original
technology, whose main objective was to identify pilfering clients,
and later on, to make the billing process more automated. The study
started with some questions judged more relevant, including: How
large was the gain yielded by the new technology? How does the
energy consumption behave after the technological change? Is there
a correlation between the gain obtained and the areas of lesser
purchasing power? Is there a demonstration effect upon neighboring
areas? Starting from these questions, series of historical data on
measured consumption before and after the new technology…
Advisors/Committee Members: LEONARDO JUNQUEIRA LUSTOSA, LEONARDO JUNQUEIRA LUSTOSA, LEONARDO JUNQUEIRA LUSTOSA, LEONARDO JUNQUEIRA LUSTOSA.
Subjects/Keywords: [pt] PERDAS DE ENERGIA ELETRICA; [en] ELECTRICAL ENERGY LOSSES; [pt] FURTO DE ENERGIA; [en] ENERGY THEFT; [pt] DISTRIBUIDORAS DE ELETRICIDADE; [en] ELECTRICITY DISTRIBUTION; [pt] MEDICAO ELETRONICA; [en] ELECTRONIC MEASUREMENTS
Record Details
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Record Details
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
REIS, C. Z. (2006). [en] EFFECTIVENESS OF A TECHNOLOGICAL SOLUTION FOR REDUCING
ELECTRICAL ENERGY PILFERAGE IN DISTRIBUTION COMPANIES: A CASE
STUDY. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7844
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):
REIS, CLAUDIA ZUCCOLOTTO. “[en] EFFECTIVENESS OF A TECHNOLOGICAL SOLUTION FOR REDUCING
ELECTRICAL ENERGY PILFERAGE IN DISTRIBUTION COMPANIES: A CASE
STUDY.” 2006. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed January 25, 2021.
http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7844.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
REIS, CLAUDIA ZUCCOLOTTO. “[en] EFFECTIVENESS OF A TECHNOLOGICAL SOLUTION FOR REDUCING
ELECTRICAL ENERGY PILFERAGE IN DISTRIBUTION COMPANIES: A CASE
STUDY.” 2006. Web. 25 Jan 2021.
Vancouver:
REIS CZ. [en] EFFECTIVENESS OF A TECHNOLOGICAL SOLUTION FOR REDUCING
ELECTRICAL ENERGY PILFERAGE IN DISTRIBUTION COMPANIES: A CASE
STUDY. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2006. [cited 2021 Jan 25].
Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7844.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
REIS CZ. [en] EFFECTIVENESS OF A TECHNOLOGICAL SOLUTION FOR REDUCING
ELECTRICAL ENERGY PILFERAGE IN DISTRIBUTION COMPANIES: A CASE
STUDY. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2006. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7844
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
10.
Depuru, Soma Shekara.
Modeling, Detection, and Prevention of Electricity Theft for
Enhanced Performance and Security of Power Grid.
Degree: PhD, College of Engineering, 2012, University of Toledo
URL: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341522225
► This dissertation contributes to the development and implementation of novel algorithms for analyzing the electricity consumption patterns of customers and identifying illegal consumers based on…
(more)
▼ This dissertation contributes to the development and
implementation of novel algorithms for analyzing the
electricity
consumption patterns of customers and identifying illegal consumers
based on irregularities in consumption. Distribution of
electricity
involves significant Technical as well as Non-Technical Losses
(NTL). Illegal consumption of
electricity or
electricity theft
constitutes a major share of NTL. This dissertation discusses
several methods implemented by illegal consumers for stealing
electricity and provides relevant literature review. A
comprehensive review of the advantages, challenges and technologies
involved in the design, development, and deployment of smart meters
is presented. With the advent of advanced metering technologies,
real-time energy consumption data will be available at the
utilities end, which can be used to detect illegal consumers. This
dissertation presents an encoding technique that simplifies the
received customer energy consumption readings (patterns) and maps
them into corresponding irregularities in consumption. The encoding
technique preserves the exclusivity in the energy consumption
patterns. The encoding technique saves significant CPU time in the
real-time analysis and classification of customers, in addition to
decreasing the memory required to store historical data. Then, this
dissertation elucidates operation of intelligent classification
techniques on customer energy consumption data to classify genuine
and illegal consumers. These classification models are applied on
regular energy consumption data as well as the encoded data to
compare corresponding classification accuracies and computational
overhead. Further, performance and scope of the proposed algorithms
is enhanced in two directions - reducing the overall computation
time, and including more real-time parameters using High
Performance Computers (HPC). The encoding and classification
algorithms are parallelized (in both Task Parallel and Data
Parallel approaches). On the other hand, impact of Time-Based
Pricing (TBP) and Distributed Generation (DG) on illegal consumers
as well as the algorithms used for detection of illegal consumers
are analyzed. Economics involved in terms of losses due to illegal
consumption of
electricity is also explained.
Advisors/Committee Members: Wang, Lingfeng (Committee Chair), Devabhaktuni, Vijay (Committee Co-Chair).
Subjects/Keywords: Electrical Engineering; Non-Technical Losses; Detection of Electricity Theft; Neural Network; SVM; Data Classification; Rule Engine; Smart Grid; Smart Meter; Power Grid; Fraud/Illegal consumption of electricity; HPC; DG
…the
factors external to the power system. Electricity theft constitutes a major chunk of the… …NTL. Major forms of electricity theft include bypassing (illegal tapping of electricity… …x5B;2], [3]. Electricity theft can be defined as, using electricity from the… …India lose around $4.5
billion every year due to electricity theft [4] and a… …In Pennsylvania, PPL, a
utility reports an increase in electricity theft by 16% compared to…
Record Details
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Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Depuru, S. S. (2012). Modeling, Detection, and Prevention of Electricity Theft for
Enhanced Performance and Security of Power Grid. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341522225
Chicago Manual of Style (16th Edition):
Depuru, Soma Shekara. “Modeling, Detection, and Prevention of Electricity Theft for
Enhanced Performance and Security of Power Grid.” 2012. Doctoral Dissertation, University of Toledo. Accessed January 25, 2021.
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341522225.
MLA Handbook (7th Edition):
Depuru, Soma Shekara. “Modeling, Detection, and Prevention of Electricity Theft for
Enhanced Performance and Security of Power Grid.” 2012. Web. 25 Jan 2021.
Vancouver:
Depuru SS. Modeling, Detection, and Prevention of Electricity Theft for
Enhanced Performance and Security of Power Grid. [Internet] [Doctoral dissertation]. University of Toledo; 2012. [cited 2021 Jan 25].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341522225.
Council of Science Editors:
Depuru SS. Modeling, Detection, and Prevention of Electricity Theft for
Enhanced Performance and Security of Power Grid. [Doctoral Dissertation]. University of Toledo; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341522225
. 
Open Access Theses and Dissertations
