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...
Published in: | Bulletin of Electrical Engineering and Informatics |
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Institute of Advanced Engineering and Science
2019
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2-s2.0-85065236446 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 2019 Bulletin of Electrical Engineering and Informatics 8 1 10.11591/eei.v8i1.1443 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065236446&doi=10.11591%2feei.v8i1.1443&partnerID=40&md5=c2d451ca55a5a0849c2155965399d1ce 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. Institute of Advanced Engineering and Science 20893191 English Article All Open Access; Gold Open Access |
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_facet |
Shaaya S.A.; Musirin I.; Sulaiman S.I.; Mansor M.H.; Syed Mustaffa S.A. |
author_sort |
Shaaya S.A.; Musirin I.; Sulaiman S.I.; Mansor M.H.; Syed Mustaffa 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 |
publishDate |
2019 |
container_title |
Bulletin of Electrical Engineering and Informatics |
container_volume |
8 |
container_issue |
1 |
doi_str_mv |
10.11591/eei.v8i1.1443 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065236446&doi=10.11591%2feei.v8i1.1443&partnerID=40&md5=c2d451ca55a5a0849c2155965399d1ce |
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. |
publisher |
Institute of Advanced Engineering and Science |
issn |
20893191 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677904632610816 |