Multi-objective Optimization with Fuzzy Based Ranking for TCSC Supplementary Controller to Improve Rotor Angle and Voltage Stability

Main Authors: S. Panda, S. C. Swain, A. K. Baliarsingh, A. K. Mohanty, Cemal Ardil
Format: Article eJournal
Bahasa: eng
Terbitan: , 2009
Subjects:
Online Access: https://zenodo.org/record/1074889
ctrlnum 1074889
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>S. Panda</creator><creator>S. C. Swain</creator><creator>A. K. Baliarsingh</creator><creator>A. K. Mohanty</creator><creator>Cemal Ardil</creator><date>2009-04-24</date><description>Many real-world optimization problems involve multiple conflicting objectives and the use of evolutionary algorithms to solve the problems has attracted much attention recently. This paper investigates the application of multi-objective optimization technique for the design of a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the performance of a power system. The design objective is to improve both rotor angle stability and system voltage profile. A Genetic Algorithm (GA) based solution technique is applied to generate a Pareto set of global optimal solutions to the given multi-objective optimisation problem. Further, a fuzzy-based membership value assignment method is employed to choose the best compromise solution from the obtained Pareto solution set. Simulation results are presented to show the effectiveness and robustness of the proposed approach.</description><identifier>https://zenodo.org/record/1074889</identifier><identifier>10.5281/zenodo.1074889</identifier><identifier>oai:zenodo.org:1074889</identifier><language>eng</language><relation>doi:10.5281/zenodo.1074888</relation><relation>url:https://zenodo.org/communities/waset</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>Multi-objective optimisation</subject><subject>thyristor controlled series compensator</subject><subject>power system stability</subject><subject>genetic algorithm</subject><subject>pareto solution set</subject><subject>fuzzy ranking.</subject><title>Multi-objective Optimization with Fuzzy Based Ranking for TCSC Supplementary Controller to Improve Rotor Angle and Voltage Stability</title><type>Journal:Article</type><type>Journal:Article</type><recordID>1074889</recordID></dc>
language eng
format Journal:Article
Journal
Journal:eJournal
author S. Panda
S. C. Swain
A. K. Baliarsingh
A. K. Mohanty
Cemal Ardil
title Multi-objective Optimization with Fuzzy Based Ranking for TCSC Supplementary Controller to Improve Rotor Angle and Voltage Stability
publishDate 2009
topic Multi-objective optimisation
thyristor controlled series compensator
power system stability
genetic algorithm
pareto solution set
fuzzy ranking
url https://zenodo.org/record/1074889
contents Many real-world optimization problems involve multiple conflicting objectives and the use of evolutionary algorithms to solve the problems has attracted much attention recently. This paper investigates the application of multi-objective optimization technique for the design of a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the performance of a power system. The design objective is to improve both rotor angle stability and system voltage profile. A Genetic Algorithm (GA) based solution technique is applied to generate a Pareto set of global optimal solutions to the given multi-objective optimisation problem. Further, a fuzzy-based membership value assignment method is employed to choose the best compromise solution from the obtained Pareto solution set. Simulation results are presented to show the effectiveness and robustness of the proposed approach.
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