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Performance comparison of distributed generation installation arrangement in transmission system for loss control

Placing Distributed generation (DG) into a power network should be planned wisely. In this paper, the comparison of having different installation arrangement of real-power DGs in transmission system for loss control is presented. Immune-brainstorm-evolutionary programme (IBSEP) was chosen as the opt...

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Main Authors: Shaaya S.A., Musirin I., Sulaiman S.I., Mansor M.H., Syed Mustaffa S.A.
Other Authors: 16022846200
Format: Article
Published: Institute of Advanced Engineering and Science 2023
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spelling my.uniten.dspace-247542023-05-29T15:26:42Z Performance comparison of distributed generation installation arrangement in transmission system for loss control Shaaya S.A. Musirin I. Sulaiman S.I. Mansor M.H. Syed Mustaffa S.A. 16022846200 8620004100 56207226400 56372667100 57189288788 Placing Distributed generation (DG) into a power network should be planned wisely. In this paper, the comparison of having different installation arrangement of real-power DGs in transmission system for loss control is presented. Immune-brainstorm-evolutionary programme (IBSEP) was chosen as the optimization technique. It is found that optimizing fixed-size DGs locations gives the highest loss reduction percentage. Apart from that, scattered small-sized DGs throughout a network minimizes transmission loss more than allocating one biger-sized DG at a location. � 2019 Institute of Advanced Engineering and Science. Final 2023-05-29T07:26:42Z 2023-05-29T07:26:42Z 2019 Article 10.11591/eei.v8i1.1443 2-s2.0-85065236446 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065236446&doi=10.11591%2feei.v8i1.1443&partnerID=40&md5=c2d451ca55a5a0849c2155965399d1ce https://irepository.uniten.edu.my/handle/123456789/24754 8 1 39 45 All Open Access, Bronze, Green 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 Placing Distributed generation (DG) into a power network should be planned wisely. In this paper, the comparison of having different installation arrangement of real-power DGs in transmission system for loss control is presented. Immune-brainstorm-evolutionary programme (IBSEP) was chosen as the optimization technique. It is found that optimizing fixed-size DGs locations gives the highest loss reduction percentage. Apart from that, scattered small-sized DGs throughout a network minimizes transmission loss more than allocating one biger-sized DG at a location. � 2019 Institute of Advanced Engineering and Science.
author2 16022846200
author_facet 16022846200
Shaaya S.A.
Musirin I.
Sulaiman S.I.
Mansor M.H.
Syed Mustaffa S.A.
format Article
author Shaaya S.A.
Musirin I.
Sulaiman S.I.
Mansor M.H.
Syed Mustaffa S.A.
spellingShingle Shaaya S.A.
Musirin I.
Sulaiman S.I.
Mansor M.H.
Syed Mustaffa S.A.
Performance comparison of distributed generation installation arrangement in transmission system for loss control
author_sort Shaaya S.A.
title Performance comparison of distributed generation installation arrangement in transmission system for loss control
title_short Performance comparison of distributed generation installation arrangement in transmission system for loss control
title_full Performance comparison of distributed generation installation arrangement in transmission system for loss control
title_fullStr Performance comparison of distributed generation installation arrangement in transmission system for loss control
title_full_unstemmed Performance comparison of distributed generation installation arrangement in transmission system for loss control
title_sort performance comparison of distributed generation installation arrangement in transmission system for loss control
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806423548999237632
score 13.222552

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