Staff View: Chaotic mutation immune evolutionary programming for voltage security with the presence of DGPV

Chaotic mutation immune evolutionary programming for voltage security with the presence of DGPV

Due to environmental concern and certain constraint on building a new power plant, renewable energy particularly distributed generation photovoltaic (DGPV) has becomes one of the promising sources to cater the increasing energy demand of the power system. Furthermore, with appropriate location and s...

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Main Authors:	Mustaffa S.A.S., Musirin I., Othman M.M., Mansor M.H.
Other Authors:	57189288788
Format:	Article
Published:	Institute of Advanced Engineering and Science 2023
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id	my.uniten.dspace-23209
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spelling	my.uniten.dspace-232092023-05-29T14:38:27Z Chaotic mutation immune evolutionary programming for voltage security with the presence of DGPV Mustaffa S.A.S. Musirin I. Othman M.M. Mansor M.H. 57189288788 8620004100 35944613200 56372667100 Due to environmental concern and certain constraint on building a new power plant, renewable energy particularly distributed generation photovoltaic (DGPV) has becomes one of the promising sources to cater the increasing energy demand of the power system. Furthermore, with appropriate location and sizing, the integration of DGPV to the grid will enhance the voltage stability and reduce the system losses. Hence, this paper proposed a new algorithm for DGPV optimal location and sizing of a transmission system based on minimization of Fast Voltage Stability Index (FVSI) with considering the system constraints. Chaotic Mutation Immune Evolutionary Programming (CMIEP) is developed by integrating the piecewise linear chaotic map (PWLCM) in the mutation process in order to increase the convergence rate of the algorithm. The simulation was applied on the IEEE 30 bus system with a variation of loads on Bus 30. The simulation results are also compared with Evolutionary Programming (EP) and Chaotic Evolutionary Programming (CEP) and it is found that CMIEP performed better in most of the cases. � 2017 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T06:38:27Z 2023-05-29T06:38:27Z 2017 Article 10.11591/ijeecs.v6.i3.pp721-729 2-s2.0-85020822585 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020822585&doi=10.11591%2fijeecs.v6.i3.pp721-729&partnerID=40&md5=398a3f68ec9dea30f10e6e05f002d400 https://irepository.uniten.edu.my/handle/123456789/23209 6 3 721 729 Institute of Advanced Engineering and Science Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Due to environmental concern and certain constraint on building a new power plant, renewable energy particularly distributed generation photovoltaic (DGPV) has becomes one of the promising sources to cater the increasing energy demand of the power system. Furthermore, with appropriate location and sizing, the integration of DGPV to the grid will enhance the voltage stability and reduce the system losses. Hence, this paper proposed a new algorithm for DGPV optimal location and sizing of a transmission system based on minimization of Fast Voltage Stability Index (FVSI) with considering the system constraints. Chaotic Mutation Immune Evolutionary Programming (CMIEP) is developed by integrating the piecewise linear chaotic map (PWLCM) in the mutation process in order to increase the convergence rate of the algorithm. The simulation was applied on the IEEE 30 bus system with a variation of loads on Bus 30. The simulation results are also compared with Evolutionary Programming (EP) and Chaotic Evolutionary Programming (CEP) and it is found that CMIEP performed better in most of the cases. � 2017 Institute of Advanced Engineering and Science. All rights reserved.
author2	57189288788
author_facet	57189288788 Mustaffa S.A.S. Musirin I. Othman M.M. Mansor M.H.
format	Article
author	Mustaffa S.A.S. Musirin I. Othman M.M. Mansor M.H.
spellingShingle	Mustaffa S.A.S. Musirin I. Othman M.M. Mansor M.H. Chaotic mutation immune evolutionary programming for voltage security with the presence of DGPV
author_sort	Mustaffa S.A.S.
title	Chaotic mutation immune evolutionary programming for voltage security with the presence of DGPV
title_short	Chaotic mutation immune evolutionary programming for voltage security with the presence of DGPV
title_full	Chaotic mutation immune evolutionary programming for voltage security with the presence of DGPV
title_fullStr	Chaotic mutation immune evolutionary programming for voltage security with the presence of DGPV
title_full_unstemmed	Chaotic mutation immune evolutionary programming for voltage security with the presence of DGPV
title_sort	chaotic mutation immune evolutionary programming for voltage security with the presence of dgpv
publisher	Institute of Advanced Engineering and Science
publishDate	2023
_version_	1806428125599367168
score	13.222552

Chaotic mutation immune evolutionary programming for voltage security with the presence of DGPV

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