Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm

A power system contingency phenomenon known as N−1 security criterion is a great concern in power system analysis as it involves loss of any of the system components such as line, transformer, and generator while having no loss of system demand. However, upgrading utility infrastructure including bu...

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主要作者:	Hadi, Mahmaad Khalid
格式:	Thesis
語言:	English
出版:	2016
主題:	Electromagnetism Algorithms
在線閱讀:	http://psasir.upm.edu.my/id/eprint/70637/1/FK%202016%20134%20-%20IR.pdf
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id	my-upm-ir.70637
record_format	uketd_dc
spelling	my-upm-ir.706372019-08-22T00:52:29Z Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm 2016-11 Hadi, Mahmaad Khalid A power system contingency phenomenon known as N−1 security criterion is a great concern in power system analysis as it involves loss of any of the system components such as line, transformer, and generator while having no loss of system demand. However, upgrading utility infrastructure including building new transmission lines to arrest the N−1 contingency condition is costly and time-consuming. Accordingly, Special Protection Scheme (SPS) remedial strategies such as generation rescheduling, load shedding, phase shift transformers and transmission line switching can be adopted by utilities to reduce the impacts of risks caused by the line overloading without any infrastructure expansion. The main problem with the current generation rescheduling strategies, which is the main SPS technique implemented in this research, is their inefficiency in the sense that they are slow in corrective decision and costly. The main objective of this research is designing a Special Protection and Control Scheme (SPCS) based on a hybrid approach of combining Differential Evolution (DE) and Electromagnetism-Like algorithms. This SPCS strategy, novel in the generation rescheduling application, is called as Differential Evolution with Adaptive Mutation (DEAM). The specific aims in employing DEAM-based SPCS are to investigate a strategy to resolve the line overloading issue through the N-1 contingency based on the load flow analysis and the severity index develop SPCS scheme through the generation rescheduling strategy based on the hybrid DEAM algorithm. The proposed algorithm is evaluated on the IEEE 30-bus test system. The performance of the proposed DEAM algorithm is validated with both the normal DE and Genetic Algorithm (GA) in terms of the fitness convergence and generation fuel cost. The results showed that the DEAM based scheme gives better performance than DE and GA in terms of less generation fuel cost and faster fitness convergence Electromagnetism Algorithms 2016-11 Thesis http://psasir.upm.edu.my/id/eprint/70637/ http://psasir.upm.edu.my/id/eprint/70637/1/FK%202016%20134%20-%20IR.pdf text en public masters Universiti Putra Malaysia Electromagnetism Algorithms
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Electromagnetism Algorithms
spellingShingle	Electromagnetism Algorithms Hadi, Mahmaad Khalid Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
description	A power system contingency phenomenon known as N−1 security criterion is a great concern in power system analysis as it involves loss of any of the system components such as line, transformer, and generator while having no loss of system demand. However, upgrading utility infrastructure including building new transmission lines to arrest the N−1 contingency condition is costly and time-consuming. Accordingly, Special Protection Scheme (SPS) remedial strategies such as generation rescheduling, load shedding, phase shift transformers and transmission line switching can be adopted by utilities to reduce the impacts of risks caused by the line overloading without any infrastructure expansion. The main problem with the current generation rescheduling strategies, which is the main SPS technique implemented in this research, is their inefficiency in the sense that they are slow in corrective decision and costly. The main objective of this research is designing a Special Protection and Control Scheme (SPCS) based on a hybrid approach of combining Differential Evolution (DE) and Electromagnetism-Like algorithms. This SPCS strategy, novel in the generation rescheduling application, is called as Differential Evolution with Adaptive Mutation (DEAM). The specific aims in employing DEAM-based SPCS are to investigate a strategy to resolve the line overloading issue through the N-1 contingency based on the load flow analysis and the severity index develop SPCS scheme through the generation rescheduling strategy based on the hybrid DEAM algorithm. The proposed algorithm is evaluated on the IEEE 30-bus test system. The performance of the proposed DEAM algorithm is validated with both the normal DE and Genetic Algorithm (GA) in terms of the fitness convergence and generation fuel cost. The results showed that the DEAM based scheme gives better performance than DE and GA in terms of less generation fuel cost and faster fitness convergence
format	Thesis
qualification_level	Master's degree
author	Hadi, Mahmaad Khalid
author_facet	Hadi, Mahmaad Khalid
author_sort	Hadi, Mahmaad Khalid
title	Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
title_short	Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
title_full	Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
title_fullStr	Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
title_full_unstemmed	Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
title_sort	special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
granting_institution	Universiti Putra Malaysia
publishDate	2016
url	http://psasir.upm.edu.my/id/eprint/70637/1/FK%202016%20134%20-%20IR.pdf
_version_	1747812879937044480

Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm

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