Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network

Expecting large electric vehicle (EV) usage in the future due to environmental issues, state subsidies, and incentives, the impact of EV charging on the power grid is required to be closely analyzed and studied for power quality, stability, and planning of infrastructure. When a large number of ener...

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Main Authors: Nagi F., Azwin A., Boopalan N., Ramasamy A.K., Marsadek M., Ahmed S.K.
Other Authors: 56272534200
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Published: Institute of Advanced Engineering and Science 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-269742023-05-29T17:38:18Z Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network Nagi F. Azwin A. Boopalan N. Ramasamy A.K. Marsadek M. Ahmed S.K. 56272534200 57201882059 57211414491 16023154400 26423183000 25926812900 Expecting large electric vehicle (EV) usage in the future due to environmental issues, state subsidies, and incentives, the impact of EV charging on the power grid is required to be closely analyzed and studied for power quality, stability, and planning of infrastructure. When a large number of energy storage batteries are connected to the grid as a capacitive load the power factor of the power grid is inevitably reduced, causing power losses and voltage instability. In this work large-scale 18K EV charging model is implemented on IEEE 33 network. Optimization methods are described to search for the location of nodes that are affected most due to EV charging in terms of power losses and voltage instability of the network. Followed by optimized reactive power injection magnitude and time duration of reactive power at the identified nodes. It is shown that power losses are reduced and voltage stability is improved in the grid, which also complements the reduction in EV charging cost. The result will be useful for EV charging stations infrastructure planning, grid stabilization, and reducing EV charging costs. � 2022 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T09:38:18Z 2023-05-29T09:38:18Z 2022 Article 10.11591/ijeecs.v25.i2.pp741-754 2-s2.0-85124660246 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124660246&doi=10.11591%2fijeecs.v25.i2.pp741-754&partnerID=40&md5=f25478a35e944152b97f53db868c1586 https://irepository.uniten.edu.my/handle/123456789/26974 25 2 741 754 All Open Access, Gold, Green Institute of Advanced Engineering and Science Scopus
institution Universiti Tenaga Nasional
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country Malaysia
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description Expecting large electric vehicle (EV) usage in the future due to environmental issues, state subsidies, and incentives, the impact of EV charging on the power grid is required to be closely analyzed and studied for power quality, stability, and planning of infrastructure. When a large number of energy storage batteries are connected to the grid as a capacitive load the power factor of the power grid is inevitably reduced, causing power losses and voltage instability. In this work large-scale 18K EV charging model is implemented on IEEE 33 network. Optimization methods are described to search for the location of nodes that are affected most due to EV charging in terms of power losses and voltage instability of the network. Followed by optimized reactive power injection magnitude and time duration of reactive power at the identified nodes. It is shown that power losses are reduced and voltage stability is improved in the grid, which also complements the reduction in EV charging cost. The result will be useful for EV charging stations infrastructure planning, grid stabilization, and reducing EV charging costs. � 2022 Institute of Advanced Engineering and Science. All rights reserved.
author2 56272534200
author_facet 56272534200
Nagi F.
Azwin A.
Boopalan N.
Ramasamy A.K.
Marsadek M.
Ahmed S.K.
format Article
author Nagi F.
Azwin A.
Boopalan N.
Ramasamy A.K.
Marsadek M.
Ahmed S.K.
spellingShingle Nagi F.
Azwin A.
Boopalan N.
Ramasamy A.K.
Marsadek M.
Ahmed S.K.
Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network
author_sort Nagi F.
title Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network
title_short Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network
title_full Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network
title_fullStr Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network
title_full_unstemmed Grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network
title_sort grid reactive voltage regulation and cost optimization for electric vehicle penetration in power network
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806424501727002624