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 |
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Format: | Article eJournal |
Bahasa: | eng |
Terbitan: |
, 2009
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Subjects: | |
Online Access: |
https://zenodo.org/record/1074889 |
ctrlnum |
1074889 |
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fullrecord |
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<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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IOS17403.1074889 |
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Universitas PGRI Palembang |
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Perpustakaan Universitas PGRI Palembang |
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Marga Life in South Sumatra in the Past: Puyang Concept Sacrificed and Demythosized |
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17403 |
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KOTA PALEMBANG |
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SUMATERA SELATAN |
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IOS17403 |
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