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Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory

In the paradigm of the increasing trend to prevent global warming, renewable energy sources applications integrated with battery energy storage system (BESS) are gaining attention for reducing the usage of fossil fuels in electrical power generation. In this regard, a multi-objective optimization sc...

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Main Authors: Gan, Chin Kim, Keek, Joe Siang, Al-Areqi, Khaldon Ahmed Qaid, Tee, Wei Hown, Sardi, Junainah
Format: Article
Language:English
Published: Gazi Universitesi 2023
Online Access:http://eprints.utem.edu.my/id/eprint/27312/2/0016431122023647.PDF
http://eprints.utem.edu.my/id/eprint/27312/
https://www.ijrer.org/ijrer/index.php/ijrer/article/view/14232/pdf
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spelling my.utem.eprints.273122024-07-04T10:29:44Z http://eprints.utem.edu.my/id/eprint/27312/ Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory Gan, Chin Kim Keek, Joe Siang Al-Areqi, Khaldon Ahmed Qaid Tee, Wei Hown Sardi, Junainah In the paradigm of the increasing trend to prevent global warming, renewable energy sources applications integrated with battery energy storage system (BESS) are gaining attention for reducing the usage of fossil fuels in electrical power generation. In this regard, a multi-objective optimization script in DIgSILENT Programming Language (DPL) which links with software modelling and scripting simulation is developed in this study. Formulation for multiple objectives for optimization of BESS sizing with particle swarm optimization (MOPSO) and load flow simulation are applied in the DPL script. The considered objective functions aim to improve the network performance by reducing power loss, voltage deviations and system costs.Pseudo code of BESS optimal sizing with multi-objective algorithm is presented in this research. The BESS with optimal sizing was discovered for improving the network performance in the tested reference network. The optimal BESS size obtained is 2.94 MW with a system cost of MYR 2404.76. The total energy losses can be reduced by approximately 16% from the base case energy losses with the optimal BESS size. The findings of the research reveal that the BESS sizing with MOPSO is applicable in DPL operations alone to solve power system problems. Gazi Universitesi 2023-06 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27312/2/0016431122023647.PDF Gan, Chin Kim and Keek, Joe Siang and Al-Areqi, Khaldon Ahmed Qaid and Tee, Wei Hown and Sardi, Junainah (2023) Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory. International Journal of Renewable Energy Research, 13 (4). pp. 1604-1613. ISSN 1309-0127 https://www.ijrer.org/ijrer/index.php/ijrer/article/view/14232/pdf 10.20508/ijrer.v13i4.14232.g8838
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description In the paradigm of the increasing trend to prevent global warming, renewable energy sources applications integrated with battery energy storage system (BESS) are gaining attention for reducing the usage of fossil fuels in electrical power generation. In this regard, a multi-objective optimization script in DIgSILENT Programming Language (DPL) which links with software modelling and scripting simulation is developed in this study. Formulation for multiple objectives for optimization of BESS sizing with particle swarm optimization (MOPSO) and load flow simulation are applied in the DPL script. The considered objective functions aim to improve the network performance by reducing power loss, voltage deviations and system costs.Pseudo code of BESS optimal sizing with multi-objective algorithm is presented in this research. The BESS with optimal sizing was discovered for improving the network performance in the tested reference network. The optimal BESS size obtained is 2.94 MW with a system cost of MYR 2404.76. The total energy losses can be reduced by approximately 16% from the base case energy losses with the optimal BESS size. The findings of the research reveal that the BESS sizing with MOPSO is applicable in DPL operations alone to solve power system problems.
format Article
author Gan, Chin Kim
Keek, Joe Siang
Al-Areqi, Khaldon Ahmed Qaid
Tee, Wei Hown
Sardi, Junainah
spellingShingle Gan, Chin Kim
Keek, Joe Siang
Al-Areqi, Khaldon Ahmed Qaid
Tee, Wei Hown
Sardi, Junainah
Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory
author_facet Gan, Chin Kim
Keek, Joe Siang
Al-Areqi, Khaldon Ahmed Qaid
Tee, Wei Hown
Sardi, Junainah
author_sort Gan, Chin Kim
title Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory
title_short Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory
title_full Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory
title_fullStr Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory
title_full_unstemmed Sizing of battery energy storage system: A multi-objective optimization approach in DIgSILENT powerfactory
title_sort sizing of battery energy storage system: a multi-objective optimization approach in digsilent powerfactory
publisher Gazi Universitesi
publishDate 2023
url http://eprints.utem.edu.my/id/eprint/27312/2/0016431122023647.PDF
http://eprints.utem.edu.my/id/eprint/27312/
https://www.ijrer.org/ijrer/index.php/ijrer/article/view/14232/pdf
_version_ 1804070309912903680
score 13.211869

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