subject:(Power optimization)

Penn State University

1. Karnawat, Darshan Nitin. Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services.

Degree: 2017, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/12604dzk5214

► In the field of wireless communication, consumption of power has become a major issue. As more and more manufacturers embed products with scatternet support, Bluetooth… (more)

Subjects/Keywords: BLE; Wireless Communication; Power Optimization

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APA (6^th Edition):

Karnawat, D. N. (2017). Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12604dzk5214

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Karnawat, Darshan Nitin. “Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services.” 2017. Thesis, Penn State University. Accessed April 18, 2021. https://submit-etda.libraries.psu.edu/catalog/12604dzk5214.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Karnawat, Darshan Nitin. “Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services.” 2017. Web. 18 Apr 2021.

Vancouver:

Karnawat DN. Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Apr 18]. Available from: https://submit-etda.libraries.psu.edu/catalog/12604dzk5214.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karnawat DN. Power Optimization in Bluetooth Low Energy implemented through a System on Chip NRF51 and Apple Notification Center Services. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/12604dzk5214

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Baylor University

2. Fellows, Matthew, 1989-. Multidimensional power amplifier circuit optimizations for adaptive radar.

Degree: PhD, Baylor University. Dept. of Electrical & Computer Engineering., 2017, Baylor University

URL: http://hdl.handle.net/2104/10038

► As wireless technology and dynamic spectrum allocation continue to proliferate, the ability to dynamically reconfigure radar transmitter power amplifiers will become necessary for adaptive radar.… (more)

Subjects/Keywords: Cognitive radar. Optimization. Power amplifier.

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APA (6^th Edition):

Fellows, Matthew, 1. (2017). Multidimensional power amplifier circuit optimizations for adaptive radar. (Doctoral Dissertation). Baylor University. Retrieved from http://hdl.handle.net/2104/10038

Chicago Manual of Style (16^th Edition):

Fellows, Matthew, 1989-. “Multidimensional power amplifier circuit optimizations for adaptive radar.” 2017. Doctoral Dissertation, Baylor University. Accessed April 18, 2021. http://hdl.handle.net/2104/10038.

MLA Handbook (7^th Edition):

Fellows, Matthew, 1989-. “Multidimensional power amplifier circuit optimizations for adaptive radar.” 2017. Web. 18 Apr 2021.

Vancouver:

Fellows, Matthew 1. Multidimensional power amplifier circuit optimizations for adaptive radar. [Internet] [Doctoral dissertation]. Baylor University; 2017. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/2104/10038.

Council of Science Editors:

Fellows, Matthew 1. Multidimensional power amplifier circuit optimizations for adaptive radar. [Doctoral Dissertation]. Baylor University; 2017. Available from: http://hdl.handle.net/2104/10038

Delft University of Technology

3. Diwangkoro Muhammad Dolaputra, Dola (author). Fully Distributed Optimal Power Flow.

Degree: 2018, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:8dc35dc4-0a6f-4560-a503-e0bbb4a6b1a9

►

There are many methods for solving an optimal power flow (OPF) problem. Most of them employ one central unit to solve the problem (centralized) while… (more)

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There are many methods for solving an optimal power flow (OPF) problem. Most of them employ one central unit to solve the problem (centralized) while in others, every node/area computes for its coverage and send information to its neighbor(s) every time. The mentioned method is called Distributed OPF. In this thesis, the Distributed OPF aims for a fast and resilient algorithm to solve a DC-OPF problem based on Consensus + Innovation (C+I) method. The research focuses on developing a faster algorithm in solving an OPF problem for a DC distribution grid. The current C+I method has tuning parameters, all of which are determined by trial and error for every case. They are sensitive parameters that determine the speed of the iteration to converge to the solution. This thesis attempts to form adaptive tuning parameters by understanding their function in every equation for a variable update. By understanding the purpose of each tuning parameter and the physical interpretation, some parameters can be formulated while the other is still determined by estimating the value. The losses and congestion are also taken into account. In the results, by formulating these parameters, they are shown that the iteration number has dropped significantly compared to the previous research. Regarding the resilience of the algorithm, the distributed approach relies on the information exchange between the nodes and delay on the information exchange will stall the whole iteration process. Therefore, an asynchronous algorithm is implemented to resolve the problem by setting a timeout duration. The timeout duration enables the algorithm to wait for the new information only for the desired duration, and therefore the calculation converges in faster.

Electrical Sustainable Energy

Advisors/Committee Members: Cvetkovic, Milos (mentor), Mackay, Laurens (mentor), Chakraborty, Shantanu (mentor), Palensky, Peter (graduation committee), de Weerdt, Mathijs (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Optimization Algorithm; Optimal power flow

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APA (6^th Edition):

Diwangkoro Muhammad Dolaputra, D. (. (2018). Fully Distributed Optimal Power Flow. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8dc35dc4-0a6f-4560-a503-e0bbb4a6b1a9

Chicago Manual of Style (16^th Edition):

Diwangkoro Muhammad Dolaputra, Dola (author). “Fully Distributed Optimal Power Flow.” 2018. Masters Thesis, Delft University of Technology. Accessed April 18, 2021. http://resolver.tudelft.nl/uuid:8dc35dc4-0a6f-4560-a503-e0bbb4a6b1a9.

MLA Handbook (7^th Edition):

Diwangkoro Muhammad Dolaputra, Dola (author). “Fully Distributed Optimal Power Flow.” 2018. Web. 18 Apr 2021.

Vancouver:

Diwangkoro Muhammad Dolaputra D(. Fully Distributed Optimal Power Flow. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 18]. Available from: http://resolver.tudelft.nl/uuid:8dc35dc4-0a6f-4560-a503-e0bbb4a6b1a9.

Council of Science Editors:

Diwangkoro Muhammad Dolaputra D(. Fully Distributed Optimal Power Flow. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:8dc35dc4-0a6f-4560-a503-e0bbb4a6b1a9

Georgia Tech

4. Costley, Mitcham Hudson. Prosumer-based decentralized unit commitment for future electricity grids.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

URL: http://hdl.handle.net/1853/54890

► The contributions of this research are a scalable formulation and solution method for decentralized unit commitment, experimental results comparing decentralized unit commitment solution times to… (more)

Subjects/Keywords: Power systems; Unit commitment; Optimization

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APA (6^th Edition):

Costley, M. H. (2015). Prosumer-based decentralized unit commitment for future electricity grids. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54890

Chicago Manual of Style (16^th Edition):

Costley, Mitcham Hudson. “Prosumer-based decentralized unit commitment for future electricity grids.” 2015. Doctoral Dissertation, Georgia Tech. Accessed April 18, 2021. http://hdl.handle.net/1853/54890.

MLA Handbook (7^th Edition):

Costley, Mitcham Hudson. “Prosumer-based decentralized unit commitment for future electricity grids.” 2015. Web. 18 Apr 2021.

Vancouver:

Costley MH. Prosumer-based decentralized unit commitment for future electricity grids. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1853/54890.

Council of Science Editors:

Costley MH. Prosumer-based decentralized unit commitment for future electricity grids. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54890

University of Tennessee – Knoxville

5. Haque, Saajid Al. An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks.

Degree: MS, Electrical Engineering, 2018, University of Tennessee – Knoxville

URL: https://trace.tennessee.edu/utk_gradthes/5119

► In many scheduling problems involving tasks with multiple deadlines, there is typically a large degree of flexibility in determining which tasks to serve at each… (more)

Subjects/Keywords: Scheduling; Slack; Power Systems; Optimization

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APA (6^th Edition):

Haque, S. A. (2018). An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/5119

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Haque, Saajid Al. “An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks.” 2018. Thesis, University of Tennessee – Knoxville. Accessed April 18, 2021. https://trace.tennessee.edu/utk_gradthes/5119.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Haque, Saajid Al. “An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks.” 2018. Web. 18 Apr 2021.

Vancouver:

Haque SA. An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks. [Internet] [Thesis]. University of Tennessee – Knoxville; 2018. [cited 2021 Apr 18]. Available from: https://trace.tennessee.edu/utk_gradthes/5119.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Haque SA. An Efficient Partial-Order Characterization of Admissible Actions for Real-Time Scheduling of Sporadic Tasks. [Thesis]. University of Tennessee – Knoxville; 2018. Available from: https://trace.tennessee.edu/utk_gradthes/5119

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

6. Doroshenko, Mykhailo. Quantifying the Effects of Solar Panel Orientation on the Electrical Grid.

Degree: 2016, University of Waterloo

URL: http://hdl.handle.net/10012/11066

► As the prices of solar panels continue to decline, energy production from solar farms is skyrocketing, leading to a situation where, at certain times, solar… (more)

Subjects/Keywords: renewable energy; solar power; optimization

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APA (6^th Edition):

Doroshenko, M. (2016). Quantifying the Effects of Solar Panel Orientation on the Electrical Grid. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11066

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Doroshenko, Mykhailo. “Quantifying the Effects of Solar Panel Orientation on the Electrical Grid.” 2016. Thesis, University of Waterloo. Accessed April 18, 2021. http://hdl.handle.net/10012/11066.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Doroshenko, Mykhailo. “Quantifying the Effects of Solar Panel Orientation on the Electrical Grid.” 2016. Web. 18 Apr 2021.

Vancouver:

Doroshenko M. Quantifying the Effects of Solar Panel Orientation on the Electrical Grid. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10012/11066.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Doroshenko M. Quantifying the Effects of Solar Panel Orientation on the Electrical Grid. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/11066

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

7. Sadinezhad, Iman. Development of numerical optimization algorithms for power system real-time estimation tools.

Degree: Electrical Engineering & Telecommunications, 2012, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/51791 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10458/SOURCE02?view=true

► The estimation of voltage/current phasors and local frequency are key parts to operate and control the ever evolving electricity networks. Phasor and frequency can be… (more)

▼ The estimation of voltage/current phasors and local frequency are key parts to operate and control the ever evolving electricity networks. Phasor and frequency can be estimated by using numerical optimisation techniques. These techniques offer the flexibility to handle frequency variations, disturbances, and fault conditions more effectively when compared with the commonly used digital techniques such as fast Fourier transform (FFT) and discrete Fourier transform (DFT). Although numerical techniques such as Kalman filter (KF), Newton-type algorithm (NTA), recursive-least-squares (RLS), and least-squares (LS) rectify the shortcomings of FFT and DFT techniques, their immense computational burden and stability issues impede their real-time application. Adaptive notch filter (ANF) and enhanced phase-locked loop (EPLL) benefit from simple structures although their performance degrade under severe unbalance and fault conditions.The objective of this thesis is to propose the application of new numerical optimisation techniques as real-time estimation tools for power system phasors, harmonics, and frequency. The contributions of this research work are as follows: The LS technique is modified to deliver frequency adaptive estimate of voltage envelope. A new decoupled recursive-least-squares (DRLS) technique is presented for harmonics and phasor estimation. A modified gradient search (MGS) undersampling technique for harmonics/interharmonics and phasor estimation is presented which shows comparable accuracy with that of the recommended technique by IEC Standard 61000-4-7. A new Newton-type-algorithm and least-squares (NTA-LS) frequency estimation technique is presented.MATLAB software has been used to emulate harmonics, frequency variation, and fault conditions in a computer environment. Programmable power supplies have been used to conduct experiments in the laboratory. Two widely available research & development digital signal processor (DSP) controllers have been used for real-time phasor and frequency estimation in the experiments.Simulation studies and real-time experiments have been performed and results presented in this thesis support the following observations. The proposed LS technique shows better performance in tracking voltage envelope and frequency variations when compared with the ANF and EPLL techniques. The proposed new least-squares-Kalman (LSK) estimation technique shows better accuracy than the DFT technique in tracking voltage flicker patterns.  The DRLS technique shows considerable improvement in terms of reducing the computational burden of the conventional RLS technique for real-time implementation on DSPs. The computational efficiency of the DRLS technique is also better than that of the DFT and adaptive linear combiner (ADALINE) techniques for extracting phasors and harmonics under highly harmonic distorted power system environments. The DRLS technique also shows a higher level of accuracy and stability to track synchronized phasors under fault… Advisors/Committee Members: Agelidis, Vassilios G., Electrical Engineering & Telecommunications, Faculty of Engineering, UNSW.

Subjects/Keywords: Estimation; Power System; Optimization

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APA (6^th Edition):

Sadinezhad, I. (2012). Development of numerical optimization algorithms for power system real-time estimation tools. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51791 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10458/SOURCE02?view=true

Chicago Manual of Style (16^th Edition):

Sadinezhad, Iman. “Development of numerical optimization algorithms for power system real-time estimation tools.” 2012. Doctoral Dissertation, University of New South Wales. Accessed April 18, 2021. http://handle.unsw.edu.au/1959.4/51791 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10458/SOURCE02?view=true.

MLA Handbook (7^th Edition):

Sadinezhad, Iman. “Development of numerical optimization algorithms for power system real-time estimation tools.” 2012. Web. 18 Apr 2021.

Vancouver:

Sadinezhad I. Development of numerical optimization algorithms for power system real-time estimation tools. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2021 Apr 18]. Available from: http://handle.unsw.edu.au/1959.4/51791 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10458/SOURCE02?view=true.

Council of Science Editors:

Sadinezhad I. Development of numerical optimization algorithms for power system real-time estimation tools. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/51791 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10458/SOURCE02?view=true

Carnegie Mellon University

8. Guo, Junyao. Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization.

Degree: 2018, Carnegie Mellon University

URL: http://repository.cmu.edu/dissertations/1140

► To integrate large volumes of renewables and use electricity more efficiently, many industrial trials are on-going around the world that aim to realize decentralized or… (more)

▼ To integrate large volumes of renewables and use electricity more efficiently, many industrial trials are on-going around the world that aim to realize decentralized or hierarchical control of renewable and distributed energy resources, flexible loads and monitoring devices. As the cost and complexity involved in the centralized communications and control infrastructure may be prohibitive in controlling millions of these distributed energy resources and devices, distributed optimization methods are expected to become much more prevalent in the operation of future electric power systems, as they have the potential to address this challenge and can be applied to various applications such as optimal power ow, state estimation, voltage control, and many others. While many distributed optimization algorithms are developed mathematically, little effort has been reported so far on how these methods should actually be implemented in real-world large-scale systems. The challenges associated with this include identifying how to decompose the overall optimization problem, what communication infrastructures can support the information exchange among subproblems, and whether to coordinate the updates of the subproblems in a synchronous or asynchronous manner. This research is dedicated to developing mathematical tools to address these issues, particularly for solving the non-convex optimal power flow problem. As the first part of this thesis, we develop a partitioning method that defines the boundaries of regions when applying distributed algorithms to a power system. This partitioning method quantifies the computational couplings among the buses and groups the buses with large couplings into one region. Through numerical experiments, we show that the developed spectral partitioning approach is the key to achieving fast convergence of distributed optimization algorithms on large-scale systems. After the partitioning of the system is defined, one needs to determine whether the communications among neighboring regions are supported. Therefore, as the second part of this thesis, we propose models for centralized and distributed communications infrastructures and study the impact of communication delays on the efficiency of distributed optimization algorithms through network simulations. Our findings suggest that the centralized communications infrastructure can be prohibitive for distributed optimization and cost-effective migration paths to a more distributed communications infrastructure are necessary. As the sizes and complexities of subproblems and communication delays are generally heterogeneous, synchronous distributed algorithms can be inefficient as they require waiting for the slowest region in the system. Hence, as the third part of this thesis, we develop an asynchronous distributed optimization method and show its convergence for the considered optimal power flow problem. We further study the impact of parameter tuning, system partitioning and communication delays on the proposed asynchronous method and compare its…

Subjects/Keywords: asynchronous optimization; distributed optimization; nonconvex optimization; optimal power flow; power system partitioning; smart grid communications

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APA (6^th Edition):

Guo, J. (2018). Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1140

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Guo, Junyao. “Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization.” 2018. Thesis, Carnegie Mellon University. Accessed April 18, 2021. http://repository.cmu.edu/dissertations/1140.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Guo, Junyao. “Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization.” 2018. Web. 18 Apr 2021.

Vancouver:

Guo J. Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization. [Internet] [Thesis]. Carnegie Mellon University; 2018. [cited 2021 Apr 18]. Available from: http://repository.cmu.edu/dissertations/1140.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guo J. Distributed Optimization in Electric Power Systems: Partitioning, Communications, and Synchronization. [Thesis]. Carnegie Mellon University; 2018. Available from: http://repository.cmu.edu/dissertations/1140

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Australian National University

9. Mak, Wai Keung Terrence. Optimizing Nonlinear Dynamics in Energy System Planning and Control .

Degree: 2017, Australian National University

URL: http://hdl.handle.net/1885/143348

► Understanding the physical dynamics underlying energy systems is essential in achieving stable operations, and reasoning about restoration and expansion planning. The mathematics governing energy system… (more)

▼ Understanding the physical dynamics underlying energy systems is essential in achieving stable operations, and reasoning about restoration and expansion planning. The mathematics governing energy system dynamics are often described by high-order differential equations. Optimizing over these equations can be a computationally challenging exercise. To overcome these challenges, early studies focused on reduced / linearized models failing to capture system dynamics accurately. This thesis considers generalizing and improving existing optimization methods in energy systems to accurately represent these dynamics. We revisit three applications in power transmission and gas pipeline systems. Our first application focuses on power system restoration planning. We examine transient effects in power restoration and generalize the Restoration Ordering Problem formulation with standing phase angle and voltage difference constraints to enhance transient stability. Our new proposal can reduce rotor swings of synchronous generators by over 50% and have negligible impacts on the blackout size, which is optimized holistically. Our second application focuses on transmission line switching in power system operations. We propose an automatic routine actively considering transient stability during optimization. Our main contribution is a nonlinear optimization model using trapezoidal discretization over the 2-axis generator model with an automatic voltage regulator (AVR). We show that congestion can lead to rotor instability, and variables controlling set-points of automatic voltage regulators are critical to ensure oscillation stability. Our results were validated against PowerWorld simulations and exhibit an average error in the order of 0.001 degrees for rotor angles. Our third contribution focuses on natural gas compressor optimization in natural gas pipeline systems. We consider the Dynamic Optimal Gas Flow problem, which generalizes the Optimal Gas Flow Problem to capture natural gas dynamics in a pipeline network. Our main contribution is a computationally efficient method to minimize gas compression costs under dynamic conditions where deliveries to customers are described by time-dependent mass flows. The scheme yields solutions that are feasible for the continuous problem and practical from an operational standpoint. Scalability of the scheme is demonstrated using realistic benchmark data.

Subjects/Keywords: Nonlinear Optimization; Power System Optimization; Power System Planning; Natural Gas Optimization; Transient Stability; Transient Control; Dynamics Control; Differential Equation Optimization

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APA (6^th Edition):

Mak, W. K. T. (2017). Optimizing Nonlinear Dynamics in Energy System Planning and Control . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/143348

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Mak, Wai Keung Terrence. “Optimizing Nonlinear Dynamics in Energy System Planning and Control .” 2017. Thesis, Australian National University. Accessed April 18, 2021. http://hdl.handle.net/1885/143348.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Mak, Wai Keung Terrence. “Optimizing Nonlinear Dynamics in Energy System Planning and Control .” 2017. Web. 18 Apr 2021.

Vancouver:

Mak WKT. Optimizing Nonlinear Dynamics in Energy System Planning and Control . [Internet] [Thesis]. Australian National University; 2017. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1885/143348.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mak WKT. Optimizing Nonlinear Dynamics in Energy System Planning and Control . [Thesis]. Australian National University; 2017. Available from: http://hdl.handle.net/1885/143348

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

10. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28521

►

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

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APA (6^th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28521

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28521.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28521.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28521

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

11. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28523

►

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28523

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28523.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28523.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28523

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

12. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28526

►

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28526

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28526.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28526.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28526

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

13. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28527

►

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28527

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28527.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28527.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28527

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

14. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28528

►

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28528.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28528

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

15. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28529

►

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28529

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28529.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28529.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28529

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

16. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28533

►

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28533

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28533.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28533.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28533

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

17. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28535

►

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28535

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28535.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28535.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28535

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

18. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28536

►

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28536

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28536.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28536.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28536

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

19. Umayal SP. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.

Degree: Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/28550

►

In developing countries electricity consumption is increasing rapidly newlineand there is always a mismatch between power generation and the load newlinedemand Utilization of available resources… (more)

Subjects/Keywords: lack of funds; Power system optimization problems

Record Details Similar Records Cite « Share

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

SP, U. (2014). Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28550

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/28550.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SP, Umayal. “Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28550.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SP U. Particle swarm optimization technique To solve stochastic multi objective Power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28550

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Mississippi State University

20. Baez-Rivera, Yamilka Isabel. CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP.

Degree: PhD, Electrical and Computer Engineering, 2011, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;

► The next generation of U.S. Navy ships will see the integration of the propulsion and electrical systems as part of the all-electric ship.… (more)

▼ The next generation of U.S. Navy ships will see the integration of the propulsion and electrical systems as part of the all-electric ship. This new architecture brings advantages and challenges. One of the challenges is to develop a stable power system that can ride through various issues such as faults or changes in load. While terrestrial systems have been studied for a long time related to stability, the unique characteristics of the shipboard power system mean that not all of these results are directly applicable to the all-electric ship. Because of the new shipboard power system structure, more generators are required to be connected in parallel to supply the power needed. Control of parallel generators has been done for years in terrestrial systems; however, the application of an advanced control technique has not been applied in the All-Electric Ship. The challenge is to apply an advanced control technique to the all-electric shipboard power system that will maintain stability of multiple generator systems, keeping in mind that the generators could be dissimilar in ratings. For that reason, the control techniques used to solve the problem need to be developed or adapted for test cases that are similar to the electric ship configuration. This dissertation provides a description of an effort to implement a robust control scheme on the all-electric ship. The proposed solution is to apply H_∞ Robust Control as an advanced control technique, with realistic constraints to keep the shipboard power system within stability margins during normal and abnormal operating scenarios. In this work, H_∞ Robust Control has been developed in the form of state space equations which are optimized using linear matrix implementation. The developed H_∞ Control has been implemented on the different operating scenarios to validate the functionality and to compare it with another control technique. Test case results for one-generator, two-generator similar and two-generator dissimilar have been described. Stability indicators have been determined and compared for various types of faults and transients for removing and adding static and dynamic loads. The research provides the foundation for applications of advanced control techniques for the next generation all-electric ship. Advisors/Committee Members: Randolph F. Follett (chair), Anurag K. Srivastava (chair), Stanislaw Grzybowski (committee member), Noel N. Schulz (chair).

Subjects/Keywords: optimization; stability; shipboard power systems; robust control

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Baez-Rivera, Y. I. (2011). CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;

Chicago Manual of Style (16^th Edition):

Baez-Rivera, Yamilka Isabel. “CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP.” 2011. Doctoral Dissertation, Mississippi State University. Accessed April 18, 2021. http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;.

MLA Handbook (7^th Edition):

Baez-Rivera, Yamilka Isabel. “CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP.” 2011. Web. 18 Apr 2021.

Vancouver:

Baez-Rivera YI. CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP. [Internet] [Doctoral dissertation]. Mississippi State University; 2011. [cited 2021 Apr 18]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;.

Council of Science Editors:

Baez-Rivera YI. CONTROL OF MULTIGENERATORS FOR THE ALL-ELECTRIC SHIP. [Doctoral Dissertation]. Mississippi State University; 2011. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-04042011-173542/ ;

21. Amudha A. Solution to profit based unit commitment problem using optimization techniques under deregulated environment;.

Degree: Profit based unit commitment problem using optimization techniques under deregulated environment, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/16156

►

Electrical power systems have been deregulated and restructured in newlinesome countries. The restructuring of electrical power systems has resulted in newlinemarket-based competition by creating an… (more)

▼

Electrical power systems have been deregulated and restructured in newlinesome countries. The restructuring of electrical power systems has resulted in newlinemarket-based competition by creating an open market environment. A newlinerestructured system allows the power suppliers to function competitively, as newlinewell as allowing consumers to choose their suppliers of electric energy. Under newlinethe new environment, electrical power system divides into three basic main newlinecomponents: generation, transmission and distribution. These have become newlinethe responsibility of generation, transmission and distribution companies. newlineAccording to these changes, traditional methods of power system generation newlinehave become the main challenges of generation companies. The problems newlinesuch as economic dispatch and unit commitment need modifications. For the newlinevertically integrated monopolistic environment in the past, economic dispatch and unit commitment were defined as scheduling generating units in order to newlineminimize the total production cost of utility and constraints such as power newlinedemand and spinning reserve are met. These problems under deregulated newlineenvironment, on the other hand, are more complex and more competitive than newlinetraditional problems. Generation companies solve economic dispatch and unit newlinecommitment problem not for minimizing total production cost as before but newlinefor maximizing their own profit. Besides, in the past, utilities had an obligation to serve their customers. That means all demand and spinning newlinereserve must be completely met. But this is not necessary in the restructured newlinesystem. Generation companies can now consider a schedule that produces less newlinethan the predicted load demand and reserve to create a maximum profit. This newlineproblem is called profit-based optimization problem. In this thesis, two newlineproblems are addressed: Profit-Based Unit Commitment and Emission newlineOptimization with profit-based unit commitment. Profit-Based Unit newlineCommitment is defined as a method to schedule generators economically newlinebased on the forecasted information,

References p.215-220, Appendix p.203-214.

Advisors/Committee Members: Christober asir rajan C.

Subjects/Keywords: Electrical engineering; Electrical power system; Optimization techniques

Record Details Similar Records Cite « Share

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

A, A. (2014). Solution to profit based unit commitment problem using optimization techniques under deregulated environment;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/16156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

A, Amudha. “Solution to profit based unit commitment problem using optimization techniques under deregulated environment;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/16156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

A, Amudha. “Solution to profit based unit commitment problem using optimization techniques under deregulated environment;.” 2014. Web. 18 Apr 2021.

Vancouver:

A A. Solution to profit based unit commitment problem using optimization techniques under deregulated environment;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

A A. Solution to profit based unit commitment problem using optimization techniques under deregulated environment;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Muthu selvan N B. Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;.

Degree: Gaussian and cauchy inspired pso algorithms for power system optimization, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/16451

►

The main objective of this research work is to develop an enhanced newlineParticle Swarm Optimization (PSO) algorithm for solving various power newlinesystem generation scheduling problems.… (more)

▼

The main objective of this research work is to develop an enhanced newlineParticle Swarm Optimization (PSO) algorithm for solving various power newlinesystem generation scheduling problems. The enhanced PSO algorithm is newlinedeveloped from the conventional PSO algorithm by the combined application newlineof Gaussian and Cauchy distribution and hence it is appropriately termed as newlineGaussian Cauchy inspired Particle Swarm Optimization (GCPSO). The newlinemodifications made into the conventional PSO algorithm ensure more reliable newlineand faster convergence in obtaining a global optimal solution. The integrity of newlinethe proposed algorithm lies in the significance of dealing the optimization newlineproblems without placing any restrictions on the structure or type of the newlinefunction to be optimized. The various power system problems that are solved newlineusing GCPSO algorithm include: Economic Dispatch (ED), Economic newlineEmission Load Dispatch (EELD), Multi Constrained Economic Dispatch newline(MCED) with non-smooth fuel cost function, DC Optimal Power Flow newline(DCOPF), AC Optimal Power Flow (ACOPF), Security Constrained Optimal newlinePower Flow (SCOPF), Transient Stability Constrained OPF (TSCOPF), newlineOptimal Power Flow with Flexible AC Transmission System (FACTS) newlinecontrollers and wind farm integrated ED and OPF problems. Initially the ED problem is solved with the PSO algorithm and the newlinemajor shortcomings of the PSO algorithm are analyzed. The analysis reveals newlinecertain major limitations such as relatively large computational time, tendency newlinetowards premature convergence and search inconsistency. Hence there is a newlinenecessity to enhance the PSO algorithm. The feasible modifications using newlinevarious probability distributions that can be introduced into the PSO newlinealgorithm are investigated. From this investigation it is found that the newlineapplication of Gaussian and Cauchy distributions into the velocity update newlineequation are appropriate for enhancing the PSO algorithm.

Appendix p.147-161, References p.162-169.

Advisors/Committee Members: Somasundaram P.

Subjects/Keywords: Cauchy; Electrical engineering; Gaussian; Power system optimization

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❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

B, M. s. N. (2014). Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/16451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

B, Muthu selvan N. “Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;.” 2014. Thesis, Anna University. Accessed April 18, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/16451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

B, Muthu selvan N. “Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;.” 2014. Web. 18 Apr 2021.

Vancouver:

B MsN. Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 18]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16451.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

B MsN. Application of gaussian and cauchy inspired pso algorithms for power system optimization problems;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/16451

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

23. Sharma, Gaurav. Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads.

Degree: PhD, Electrical Engineering, 2016, Texas A&M University

URL: http://hdl.handle.net/1969.1/157838

► We consider a smart microgrid environment where renewable power sources like wind generators are available to service the thermal inertial load along with conventional non-renewable… (more)

▼ We consider a smart microgrid environment where renewable power sources like wind generators are available to service the thermal inertial load along with conventional non-renewable energy sources. The flexibility in power consumption of thermal inertial loads, like air-conditioners can be used towards absorbing the fluctuations in intermittently available renewable power sources. Several optimization schemes can be used towards this goal. We discuss and analyze some of these optimization models. An optimization model which promotes renewable consumption by penalizing non-renewable consumption, but does not account for variations in the load requirements, lead to an optimal solution in which all the loads’ temperatures behave in a lockstep fashion. That is, the power is allocated in such a fashion that all the temperatures are brought to a common value and they are kept the same after that time, resulting in synchronization among all the loads. We show that under a model which additionally penalizes the comfort range violation, the optimal solution is in fact of a de-synchronizing nature, where the temperatures are intentionally kept apart to avoid power surges resulting from simultaneous comfort violation across many loads. In the sequel, we additionally take into account several other factors, such as the privacy requirements from the users of loads, architectural simplicity, and tractability of the solution. We propose a demand response architecture where no information from the end-user is required to be transferred in order to optimally co-ordinate their power consumption. We propose a simple threshold value based policy which is architecturally simple, computationally inexpensive, and achieves optimal staggering among loads to smooth the variations in non-renewable power requirements. We show that it is possible to compute the optimal solution in a number of scenarios, and give a heuristic approach to approximate the optimal solution for the scenarios where information such as cooling/heating rates, etc. is not available. Advisors/Committee Members: Kumar, Panganamala R. (advisor), Hou, I-Hong (advisor), Xie, Le (committee member), Howard, Peter (committee member).

Subjects/Keywords: demand response; power system; optimization; renewable integration

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APA (6^th Edition):

Sharma, G. (2016). Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157838

Chicago Manual of Style (16^th Edition):

Sharma, Gaurav. “Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads.” 2016. Doctoral Dissertation, Texas A&M University. Accessed April 18, 2021. http://hdl.handle.net/1969.1/157838.

MLA Handbook (7^th Edition):

Sharma, Gaurav. “Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads.” 2016. Web. 18 Apr 2021.

Vancouver:

Sharma G. Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1969.1/157838.

Council of Science Editors:

Sharma G. Optimal Demand Response Schemes for Renewable Integration using Thermal Inertial Loads. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157838

University of Newcastle

24. Qiu, Jing. Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market.

Degree: PhD, 2014, University of Newcastle

URL: http://hdl.handle.net/1959.13/1055324

►

Research Doctorate - Doctor of Philosophy (PhD)

Power system planning plays an essential role in maintaining the economic, secure and reliable operations of power systems.… (more)

▼

Research Doctorate - Doctor of Philosophy (PhD)

Power system planning plays an essential role in maintaining the economic, secure and reliable operations of power systems. Following the deregulation of electricity industry, power system planning encounters many challenges as a result of the advent of various market participants, such as market uncertainties and conflicting objectives. Moreover, due to the growing concerns on climate change around the world, natural gas becomes more economically competitive among traditional fossil fuels, leading to the proliferation of gas-fired power generation (GPG) in the power sector. In a market environment, the access to affordable and reliable gas sources can significantly influence the competitiveness of market participants, and then the power system operations consequently. Therefore, power system planning should integrally take into account the gas infrastructure. Fuel availability and prices are treated as uncertain inputs in conventional power system planning methods, which usually suffer from inaccurate market signals (e.g. congestion costs) and insufficient knowledge of network weakness. This thesis research focuses on the proposal of an expansion co-planning framework for gas and electricity transmission infrastructure in a combined energy market. The expansion co-planning approach is able to reflect the dynamic, nonlinear and non-convex nature of the integrated gas and electricity systems. In addition to the reliability/security planning criterion, this research aims to enhance the market efficiency of assets through the planning practice, e.g. facilitating competition, alleviating congestion, improving social welfare, minimizing risks, etc. The proposed expansion co-planning framework can be used to guide the energy industry to form a holistic approach to the strategic planning of future grids including gas and electricity networks, subject to various interacting constraints. It has covered a variety of aspects in planning, including a generalized reliability evaluation method for coupled gas and electricity networks, market timeline mismatch, multi-objectives, tackling interactive constraints, stochastic programming, risk management, energy networks’ vulnerability to extreme events caused by climate change, and linearization techniques. With regard to planning solution techniques, a range of up-to-date methods have been applied or developed, including differential evolution, decision making analysis with the fuzzy particle swarm optimization, historical driven differential evolution with variance reduction techniques, fuzzy adaptive differential evolution with parallel implementation, linear programming, mixed-integer programming, iterative algorithm, etc. A number of benchmark test systems have been used to demonstrate the effectiveness of the proposed expansion co-planning approach. Comparative studies to existing approaches in the literature, where applicable, have also been conducted. The real applicability of the proposed approach has been verified by…

Advisors/Committee Members: University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science.

Subjects/Keywords: power system planning; natural gas network; optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Qiu, J. (2014). Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1055324

Chicago Manual of Style (16^th Edition):

Qiu, Jing. “Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market.” 2014. Doctoral Dissertation, University of Newcastle. Accessed April 18, 2021. http://hdl.handle.net/1959.13/1055324.

MLA Handbook (7^th Edition):

Qiu, Jing. “Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market.” 2014. Web. 18 Apr 2021.

Vancouver:

Qiu J. Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market. [Internet] [Doctoral dissertation]. University of Newcastle; 2014. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1959.13/1055324.

Council of Science Editors:

Qiu J. Multi-stage flexible expansion co-planning under uncertainties in a combined electricity and gas market. [Doctoral Dissertation]. University of Newcastle; 2014. Available from: http://hdl.handle.net/1959.13/1055324

Universidade Nova

25. Soares, Diogo Lopes. Design of multidimensional compact constellations with high power efficiency.

Degree: 2013, Universidade Nova

URL: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111

Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia Advisors/Committee Members: Dinis, Rui, Beko, Marko.

Subjects/Keywords: Multidimensional constellations; Power efficiency; Convex optimization

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APA (6^th Edition):

Soares, D. L. (2013). Design of multidimensional compact constellations with high power efficiency. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Soares, Diogo Lopes. “Design of multidimensional compact constellations with high power efficiency.” 2013. Thesis, Universidade Nova. Accessed April 18, 2021. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Soares, Diogo Lopes. “Design of multidimensional compact constellations with high power efficiency.” 2013. Web. 18 Apr 2021.

Vancouver:

Soares DL. Design of multidimensional compact constellations with high power efficiency. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2021 Apr 18]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soares DL. Design of multidimensional compact constellations with high power efficiency. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/11111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Chicago

26. Onyema, Emmanuel C. Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator.

Degree: 2014, University of Illinois – Chicago

URL: http://hdl.handle.net/10027/19073

► Particulate matter (PM) consists of air pollutants such as dust, smoke, diesel exhaust and tobacco fumes. A subset of these pollutants, which are PM particles… (more)

▼ Particulate matter (PM) consists of air pollutants such as dust, smoke, diesel exhaust and tobacco fumes. A subset of these pollutants, which are PM particles with diameter less than or equal to 2.5 (PM2.5), are a major health hazard. According to the United states Environment Protection Agency (EPA), over 9000 deaths annually are due to exposure to (PM2.5). Thus there is the need for monitoring personal exposure to these pollutants. Available PM sensors are either too expensive or too bulky to be carried about. The Air-Microfluidics group has developed a compact and affordable personal (PM2.5) sensor. At the heart of the PM sensor, lives a Micro Electro-Mechanical Systems (MEMS) Pierce Oscillator consisting of a CMOS sustaining amplifier in a feedback loop with an FBAR (Film Bulk Acoustic Wave Resonator). The Air-Microfluidic circuit is built in such a way that when (PM2.5) is deposited on the FBAR’s surface, a change in its resonant frequency is induced, and the rate of this frequency change corresponds to the particle concentration in the sampled volume of air. This thesis work has been proposed for incorporation into the Air-Microfluidic group's (PM) sensor project. This work designs a CMOS sustaining amplifier capable of driving a 650 MHz MEMS FBAR thus realizing a pierce oscillator. Low phase noise, Low power consumption and good signal strength are some desired qualities of properly designed oscillators. Therefore meticulous design procedure should be adhered to if set specifications are to be attained. The main purpose of this work is to develop an optimization methodology for the chosen sustaining amplifier topology to ensure the scalability of the design across CMOS process technologies. Moreover, an adequate Electrostatic Discharge (ESD) protection structure has been included in the design for safeguarding against human-related ESD events. Advisors/Committee Members: Paprotny, Igor (advisor), Feinerman, Alan (committee member), Graziano, Mariagrazia (committee member).

Subjects/Keywords: MEMS; Low Power; Optimization; Pierce Oscillator

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Onyema, E. C. (2014). Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/19073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Onyema, Emmanuel C. “Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator.” 2014. Thesis, University of Illinois – Chicago. Accessed April 18, 2021. http://hdl.handle.net/10027/19073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Onyema, Emmanuel C. “Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator.” 2014. Web. 18 Apr 2021.

Vancouver:

Onyema EC. Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator. [Internet] [Thesis]. University of Illinois – Chicago; 2014. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10027/19073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Onyema EC. Design and CMOS Technology Optimization of a Low Power MEMS Pierce Oscillator. [Thesis]. University of Illinois – Chicago; 2014. Available from: http://hdl.handle.net/10027/19073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Colorado State University

27. Dozier, André. Integrated water and power modeling framework for renewable energy integration.

Degree: MS(M.S.), Civil and Environmental Engineering, 2012, Colorado State University

URL: http://hdl.handle.net/10217/73558

► Increasing penetration of intermittent renewable energy sources into the bulk electricity system has caused new operational challenges requiring large ramping rate and reserve capacity as… (more)

▼ Increasing penetration of intermittent renewable energy sources into the bulk electricity system has caused new operational challenges requiring large ramping rate and reserve capacity as well as increased transmission congestion due to unscheduled flow. Contemporary literature and recent renewable energy integration studies indicate that more realism needs to be incorporated into renewable energy studies. Many detailed water and power models have been developed in their respective fields, but no free-of-charge integrated water and power system model that considers constraints and objectives in both systems jointly has been constructed. Therefore, an integrated water and power model structure that addresses some contemporary challenges is formulated as a long-term goal, but only a small portion of the model structure is actually implemented as software. A water network model called MODSIM is adapted using a conditional gradient method to be able to connect to an overarching optimization routine that decomposes the water and power problems. The water network model is connected to a simple power dispatch model that uses a linear programming approach to dispatch hydropower resources to mitigate power flows across a transmission line. The power dispatch model first decides optimal power injections from each of the hydropower reservoirs, which are then used as hydropower targets for the water network model to achieve. Any unsatisfied power demand or congested transmission line is assumed to be met by imported power. A case study was performed on the Mid-Columbia River in the U.S. to test the capabilities of the integrated water and power model. Results indicate that hydropower resources can accommodate transmission congestion and energy capacity on wind production up until a particular threshold on the penetration level, after which hydropower resources provide no added benefit to the system. Effects of operational decisions to mitigate wind power penetration level and transmission capacity on simulated total dissolved gases were negligible. Finally, future work on the integrated water and power model is discussed along with expected results from the fully implemented model and its potential applications. Advisors/Committee Members: Labadie, John W. (advisor), Zimmerle, Dan (committee member), Salas, Jose (committee member).

Subjects/Keywords: optimization; water; systems; power; modeling; operations

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APA (6^th Edition):

Dozier, A. (2012). Integrated water and power modeling framework for renewable energy integration. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/73558

Chicago Manual of Style (16^th Edition):

Dozier, André. “Integrated water and power modeling framework for renewable energy integration.” 2012. Masters Thesis, Colorado State University. Accessed April 18, 2021. http://hdl.handle.net/10217/73558.

MLA Handbook (7^th Edition):

Dozier, André. “Integrated water and power modeling framework for renewable energy integration.” 2012. Web. 18 Apr 2021.

Vancouver:

Dozier A. Integrated water and power modeling framework for renewable energy integration. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10217/73558.

Council of Science Editors:

Dozier A. Integrated water and power modeling framework for renewable energy integration. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/73558

University of Toronto

28. Fawaz, Mohammad. Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits.

Degree: 2013, University of Toronto

URL: http://hdl.handle.net/1807/42835

►

Electromigration in metal lines has re-emerged as a significant concern in modern VLSI circuits. The higher levels of temperature and the large number of EM… (more)

Subjects/Keywords: Power Grid; Electromigration; Verification; Optimization; 0544

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APA (6^th Edition):

Fawaz, M. (2013). Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/42835

Chicago Manual of Style (16^th Edition):

Fawaz, Mohammad. “Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits.” 2013. Masters Thesis, University of Toronto. Accessed April 18, 2021. http://hdl.handle.net/1807/42835.

MLA Handbook (7^th Edition):

Fawaz, Mohammad. “Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits.” 2013. Web. 18 Apr 2021.

Vancouver:

Fawaz M. Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1807/42835.

Council of Science Editors:

Fawaz M. Electromigration Reliability Analysis of Power Delivery Networks in Integrated Circuits. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/42835

University of Toronto

29. Kumar, Gaurav. Ontario’s Energy - A Review of the Present and a Proposal for Future Development.

Degree: 2010, University of Toronto

URL: http://hdl.handle.net/1807/24593

►

The work presents a framework for analyzing complex decision making in policy from the perspective of planning power supply mix for Ontario. Concepts of sustainability… (more)

Subjects/Keywords: Ontario Supply Mix; Power optimization; 0543; 0775

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APA (6^th Edition):

Kumar, G. (2010). Ontario’s Energy - A Review of the Present and a Proposal for Future Development. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/24593

Chicago Manual of Style (16^th Edition):

Kumar, Gaurav. “Ontario’s Energy - A Review of the Present and a Proposal for Future Development.” 2010. Masters Thesis, University of Toronto. Accessed April 18, 2021. http://hdl.handle.net/1807/24593.

MLA Handbook (7^th Edition):

Kumar, Gaurav. “Ontario’s Energy - A Review of the Present and a Proposal for Future Development.” 2010. Web. 18 Apr 2021.

Vancouver:

Kumar G. Ontario’s Energy - A Review of the Present and a Proposal for Future Development. [Internet] [Masters thesis]. University of Toronto; 2010. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/1807/24593.

Council of Science Editors:

Kumar G. Ontario’s Energy - A Review of the Present and a Proposal for Future Development. [Masters Thesis]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/24593

Delft University of Technology

30. Qian, Weijun (author). Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply.

Degree: 2017, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:6f3aec1e-9225-431c-b1a8-be635907eb67

► High frequency high voltage power supply has been widely applied in many industrial applications such as the medical X-ray machine and eletrostatic precipitators. As a… (more)

Subjects/Keywords: Voltage multiplier; HWCW; Power loss; Optimization

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APA (6^th Edition):

Qian, W. (. (2017). Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:6f3aec1e-9225-431c-b1a8-be635907eb67

Chicago Manual of Style (16^th Edition):

Qian, Weijun (author). “Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply.” 2017. Masters Thesis, Delft University of Technology. Accessed April 18, 2021. http://resolver.tudelft.nl/uuid:6f3aec1e-9225-431c-b1a8-be635907eb67.

MLA Handbook (7^th Edition):

Qian, Weijun (author). “Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply.” 2017. Web. 18 Apr 2021.

Vancouver:

Qian W(. Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Apr 18]. Available from: http://resolver.tudelft.nl/uuid:6f3aec1e-9225-431c-b1a8-be635907eb67.

Council of Science Editors:

Qian W(. Modeling and analysis of high frequency high voltage multiplier circuit for high voltage power supply. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:6f3aec1e-9225-431c-b1a8-be635907eb67

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Open Access Theses and Dissertations