Multi-objective approach for optimal DGPV location and sizing

The advancement of renewable technology has attracted utility and company to integrate and produce energy for a cleaner environment. The attractive policy from the government also gave the opportunity to adopt the technology recently. The Distributed Generation Photo-voltaic (DGPV) integration into...

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Main Authors: Mustaffa S.A.S., Musirin I., Othman M.M., Shaaya S.A., Mohamad Zamani M.K.
Other Authors: 57189288788
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Published: Science Publishing Corporation Inc 2023
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spelling my.uniten.dspace-239502023-05-29T14:53:26Z Multi-objective approach for optimal DGPV location and sizing Mustaffa S.A.S. Musirin I. Othman M.M. Shaaya S.A. Mohamad Zamani M.K. 57189288788 8620004100 35944613200 16022846200 57193428895 The advancement of renewable technology has attracted utility and company to integrate and produce energy for a cleaner environment. The attractive policy from the government also gave the opportunity to adopt the technology recently. The Distributed Generation Photo-voltaic (DGPV) integration into the grid is an advanced technology to produce electricity without polluting the environment. Besides providing the green technology, it can also enhance the voltage profile and minimise the transmission losses. However, this depends on the location and the sizing of the DGPV. In this paper, the location and sizing of DGPV are deduced using multi-objective Chaotic Mutation Immune Evolutionary Technique (MOCMIEP) technique. The proposed method determines the optimal location and sizing of DGPV and to improve the losses and FVSI simultaneously. FVSI is a pre-developed voltage stability index based on the line in the power system. The method was tested on the power transmission system of IEEE 30-Bus and IEEE 57 -Bus Reliability Test System (RTS). The results demonstrate the ability of the proposed method to generate the Pareto optimal solutions of the multi-objective problems and come out with the best compromise solution. � 2018 Authors. Final 2023-05-29T06:53:26Z 2023-05-29T06:53:26Z 2018 Article 10.14419/ijet.v7i3.15.17504 2-s2.0-85082355276 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082355276&doi=10.14419%2fijet.v7i3.15.17504&partnerID=40&md5=985366eafd84d325c2ff98ee6f2903af https://irepository.uniten.edu.my/handle/123456789/23950 7 3 68 72 All Open Access, Bronze Science Publishing Corporation Inc 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 The advancement of renewable technology has attracted utility and company to integrate and produce energy for a cleaner environment. The attractive policy from the government also gave the opportunity to adopt the technology recently. The Distributed Generation Photo-voltaic (DGPV) integration into the grid is an advanced technology to produce electricity without polluting the environment. Besides providing the green technology, it can also enhance the voltage profile and minimise the transmission losses. However, this depends on the location and the sizing of the DGPV. In this paper, the location and sizing of DGPV are deduced using multi-objective Chaotic Mutation Immune Evolutionary Technique (MOCMIEP) technique. The proposed method determines the optimal location and sizing of DGPV and to improve the losses and FVSI simultaneously. FVSI is a pre-developed voltage stability index based on the line in the power system. The method was tested on the power transmission system of IEEE 30-Bus and IEEE 57 -Bus Reliability Test System (RTS). The results demonstrate the ability of the proposed method to generate the Pareto optimal solutions of the multi-objective problems and come out with the best compromise solution. � 2018 Authors.
author2 57189288788
author_facet 57189288788
Mustaffa S.A.S.
Musirin I.
Othman M.M.
Shaaya S.A.
Mohamad Zamani M.K.
format Article
author Mustaffa S.A.S.
Musirin I.
Othman M.M.
Shaaya S.A.
Mohamad Zamani M.K.
spellingShingle Mustaffa S.A.S.
Musirin I.
Othman M.M.
Shaaya S.A.
Mohamad Zamani M.K.
Multi-objective approach for optimal DGPV location and sizing
author_sort Mustaffa S.A.S.
title Multi-objective approach for optimal DGPV location and sizing
title_short Multi-objective approach for optimal DGPV location and sizing
title_full Multi-objective approach for optimal DGPV location and sizing
title_fullStr Multi-objective approach for optimal DGPV location and sizing
title_full_unstemmed Multi-objective approach for optimal DGPV location and sizing
title_sort multi-objective approach for optimal dgpv location and sizing
publisher Science Publishing Corporation Inc
publishDate 2023
_version_ 1806424497204494336
score 13.214268