Computational intelligence based power system security assessment and improvement under multicontigencies conditions

This thesis presents new techniques for voltage stability assessment and improvement in power system under multi-contingencies.A line-based voltage stability index termed as Static Voltage Stability Index (SVSJ)was used to evaluate the voltage stability condition on a line.The value of SVSJ was comp...

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Main Author:	Nor Rul Hasma, Abdullah
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/4742/1/wm.Computational%20intelligence%20based%20power%20system%20security%20assessment%20and%20improvement.pdf
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spelling	my-ump-ir.47422023-10-23T09:25:17Z Computational intelligence based power system security assessment and improvement under multicontigencies conditions 2012-06 Nor Rul Hasma, Abdullah TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This thesis presents new techniques for voltage stability assessment and improvement in power system under multi-contingencies.A line-based voltage stability index termed as Static Voltage Stability Index (SVSJ)was used to evaluate the voltage stability condition on a line.The value of SVSJ was computed to identify the most sensitive line and corresponding weak bus in the system.The results obtained from the voltage stability analysis using SVSJ were utilized to identify most sensitive line corresponds to a load bus and estimate the maximum loadability and operating margin in the system.The SVSI was consequently used as the line outage severity indicator in the implementation of contingency analysis and ranking.The application of SVSI was extended for the evaluation of the constrained power planning (CPP) and Flexible AC Transmission Systems (FACTS) devices installation using Evolutionary Programming (EP) by considering multi-contingencies occurrence in the system. The minimizations of SVSJ and transmission loss are used as two separate objective functions for the development of optimization technique.The effect of reactive power load variation.on transmission loss in the system is also investigated.Consequently,the EP optimization technique is extended for the evaluation of the operating generator scheduling (OGS) to be applied on reactive power control in power system.The results obtained from the study can be used by the power system operators to make a decision either to achieve minimal SVSJ, minimal transmission loss or minimal installation cost.This has also avoided all generators to dispatch power at the same time.Finally,a novel multi-objective Constrained Reactive Power Control (CRPC) algorithm using the state-of-the-art of EP for voltage stability improvement has been developed.A performance comparison with Artificial Immune System (AIS) in terms of SVSJ and loss minimization was made and it is found that the proposed algorithm has been able to produce better results as compared to AIS.The contributions of the studies among the others are the development EP and AIS engine for CPP considered multi-contingencies (N-ni),the development of EP and AIS engine for FACTS installation considered multi-contingencies(N-m) for the determination of FACTS placement using SVSI and optimal sizing of FACTS using EP and AIS, the development of new technique for OGS based on EP optimization technique and the development of multi-objective EP and AIS engines for CRPC considered multi-contingencies (N-m). 2012-06 Thesis http://umpir.ump.edu.my/id/eprint/4742/ http://umpir.ump.edu.my/id/eprint/4742/1/wm.Computational%20intelligence%20based%20power%20system%20security%20assessment%20and%20improvement.pdf pdf en public phd doctoral Universiti Teknologi MARA Faculty of Electrical Engineering Ismail, Musirin
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Ismail, Musirin
topic	TA Engineering (General) Civil engineering (General) TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) TA Engineering (General) Civil engineering (General) Nor Rul Hasma, Abdullah Computational intelligence based power system security assessment and improvement under multicontigencies conditions
description	This thesis presents new techniques for voltage stability assessment and improvement in power system under multi-contingencies.A line-based voltage stability index termed as Static Voltage Stability Index (SVSJ)was used to evaluate the voltage stability condition on a line.The value of SVSJ was computed to identify the most sensitive line and corresponding weak bus in the system.The results obtained from the voltage stability analysis using SVSJ were utilized to identify most sensitive line corresponds to a load bus and estimate the maximum loadability and operating margin in the system.The SVSI was consequently used as the line outage severity indicator in the implementation of contingency analysis and ranking.The application of SVSI was extended for the evaluation of the constrained power planning (CPP) and Flexible AC Transmission Systems (FACTS) devices installation using Evolutionary Programming (EP) by considering multi-contingencies occurrence in the system. The minimizations of SVSJ and transmission loss are used as two separate objective functions for the development of optimization technique.The effect of reactive power load variation.on transmission loss in the system is also investigated.Consequently,the EP optimization technique is extended for the evaluation of the operating generator scheduling (OGS) to be applied on reactive power control in power system.The results obtained from the study can be used by the power system operators to make a decision either to achieve minimal SVSJ, minimal transmission loss or minimal installation cost.This has also avoided all generators to dispatch power at the same time.Finally,a novel multi-objective Constrained Reactive Power Control (CRPC) algorithm using the state-of-the-art of EP for voltage stability improvement has been developed.A performance comparison with Artificial Immune System (AIS) in terms of SVSJ and loss minimization was made and it is found that the proposed algorithm has been able to produce better results as compared to AIS.The contributions of the studies among the others are the development EP and AIS engine for CPP considered multi-contingencies (N-ni),the development of EP and AIS engine for FACTS installation considered multi-contingencies(N-m) for the determination of FACTS placement using SVSI and optimal sizing of FACTS using EP and AIS, the development of new technique for OGS based on EP optimization technique and the development of multi-objective EP and AIS engines for CRPC considered multi-contingencies (N-m).
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Nor Rul Hasma, Abdullah
author_facet	Nor Rul Hasma, Abdullah
author_sort	Nor Rul Hasma, Abdullah
title	Computational intelligence based power system security assessment and improvement under multicontigencies conditions
title_short	Computational intelligence based power system security assessment and improvement under multicontigencies conditions
title_full	Computational intelligence based power system security assessment and improvement under multicontigencies conditions
title_fullStr	Computational intelligence based power system security assessment and improvement under multicontigencies conditions
title_full_unstemmed	Computational intelligence based power system security assessment and improvement under multicontigencies conditions
title_sort	computational intelligence based power system security assessment and improvement under multicontigencies conditions
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/4742/1/wm.Computational%20intelligence%20based%20power%20system%20security%20assessment%20and%20improvement.pdf
_version_	1783731912184954880

Computational intelligence based power system security assessment and improvement under multicontigencies conditions

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