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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Published in:ACM International Conference Proceeding Series
Main Author: Rosselan M.Z.; Sulaiman S.I.; Othman N.
Format: Conference paper
Language:English
Published: Association for Computing Machinery 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020912947&doi=10.1145%2f3057039.3057061&partnerID=40&md5=20dde6e98e68205e6ee007d6a5363e7b
id 2-s2.0-85020912947
spelling 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
container_issue
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
issn
language English
format Conference paper
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record_format scopus
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