Sizing optimization of large-scale grid-connected photovoltaic system using dolphin echolocation algorithm
This paper presents the sizing optimization of large-scale Grid- Connected Photovoltaic (GCPV) system using Dolphin Echolocation Algorithm (DEA). In this study, DEA was used to optimally determine the type of photovoltaic module and the type of inverter such that the performance ratio of the GCPV sy...
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Association for Computing Machinery
2017
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020912947&doi=10.1145%2f3057039.3057061&partnerID=40&md5=20dde6e98e68205e6ee007d6a5363e7b |
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2-s2.0-85020912947 Rosselan M.Z.; Sulaiman S.I.; Othman N. Sizing optimization of large-scale grid-connected photovoltaic system using dolphin echolocation algorithm 2017 ACM International Conference Proceeding Series Part F127852 10.1145/3057039.3057061 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020912947&doi=10.1145%2f3057039.3057061&partnerID=40&md5=20dde6e98e68205e6ee007d6a5363e7b This paper presents the sizing optimization of large-scale Grid- Connected Photovoltaic (GCPV) system using Dolphin Echolocation Algorithm (DEA). In this study, DEA was used to optimally determine the type of photovoltaic module and the type of inverter such that the performance ratio of the GCPV system is maximized. Besides that, the sizing algorithm also computed total number of PV modules, total number of inverters, PV array configuration, the PV module arrangement in a block of PV array, total energy generated and specific yield. The DEA-based sizing algorithm was found to outperform the conventional iterative based sizing algorithm by requiring lower computation time with similar performance ratio. © 2017 ACM. Association for Computing Machinery English Conference paper |
author |
Rosselan M.Z.; Sulaiman S.I.; Othman N. |
spellingShingle |
Rosselan M.Z.; Sulaiman S.I.; Othman N. Sizing optimization of large-scale grid-connected photovoltaic system using dolphin echolocation algorithm |
author_facet |
Rosselan M.Z.; Sulaiman S.I.; Othman N. |
author_sort |
Rosselan M.Z.; Sulaiman S.I.; Othman N. |
title |
Sizing optimization of large-scale grid-connected photovoltaic system using dolphin echolocation algorithm |
title_short |
Sizing optimization of large-scale grid-connected photovoltaic system using dolphin echolocation algorithm |
title_full |
Sizing optimization of large-scale grid-connected photovoltaic system using dolphin echolocation algorithm |
title_fullStr |
Sizing optimization of large-scale grid-connected photovoltaic system using dolphin echolocation algorithm |
title_full_unstemmed |
Sizing optimization of large-scale grid-connected photovoltaic system using dolphin echolocation algorithm |
title_sort |
Sizing optimization of large-scale grid-connected photovoltaic system using dolphin echolocation algorithm |
publishDate |
2017 |
container_title |
ACM International Conference Proceeding Series |
container_volume |
Part F127852 |
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doi_str_mv |
10.1145/3057039.3057061 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020912947&doi=10.1145%2f3057039.3057061&partnerID=40&md5=20dde6e98e68205e6ee007d6a5363e7b |
description |
This paper presents the sizing optimization of large-scale Grid- Connected Photovoltaic (GCPV) system using Dolphin Echolocation Algorithm (DEA). In this study, DEA was used to optimally determine the type of photovoltaic module and the type of inverter such that the performance ratio of the GCPV system is maximized. Besides that, the sizing algorithm also computed total number of PV modules, total number of inverters, PV array configuration, the PV module arrangement in a block of PV array, total energy generated and specific yield. The DEA-based sizing algorithm was found to outperform the conventional iterative based sizing algorithm by requiring lower computation time with similar performance ratio. © 2017 ACM. |
publisher |
Association for Computing Machinery |
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language |
English |
format |
Conference paper |
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scopus |
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Scopus |
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1809678161279975424 |