A Novel Beluga Whale-Jaya Optimization for Effective EV Charge Scheduling in Power Generation
While considering the provision of the safest environment, it leads to the rapid growth of Electric Vehicles (EVs) that spread over the markets based on features like improvement of charging stations, economy, battery technology, and price. Moreover, the EV charging station placement issues are rega...
Published in: | 2023 IEEE 14th International Conference on Power Electronics and Drive Systems (PEDS) |
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Online Access: | https://hdl.handle.net/11577/3498940 https://doi.org/10.1109/PEDS57185.2023.10246690 |
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ftunivpadovairis:oai:www.research.unipd.it:11577/3498940 2024-04-14T08:09:43+00:00 A Novel Beluga Whale-Jaya Optimization for Effective EV Charge Scheduling in Power Generation Sagar A. Padmanaban S. Bertoluzzo M. Sagar, A. Padmanaban, S. Bertoluzzo, M. 2023 ELETTRONICO https://hdl.handle.net/11577/3498940 https://doi.org/10.1109/PEDS57185.2023.10246690 eng eng Institute of Electrical and Electronics Engineers Inc. info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-9996-7 ispartofbook:Proceedings of the International Conference on Power Electronics and Drive Systems 14th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2023 volume:2023- firstpage:1 lastpage:6 numberofpages:6 https://hdl.handle.net/11577/3498940 doi:10.1109/PEDS57185.2023.10246690 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85174031904 Beluga Whale-Jaya Optimization Charge Scheduling Electric Vehicle Power Generation info:eu-repo/semantics/conferenceObject 2023 ftunivpadovairis https://doi.org/10.1109/PEDS57185.2023.10246690 2024-03-21T20:05:26Z While considering the provision of the safest environment, it leads to the rapid growth of Electric Vehicles (EVs) that spread over the markets based on features like improvement of charging stations, economy, battery technology, and price. Moreover, the EV charging station placement issues are regarded as facility location issues. In addition, EV charging station placement issues have concerns about the electric distribution systems, the system losses, and the total number of convergences over the traffic network for voltage deviations. The voltage profile enhancement and loss minimization are considered two major issues obtained over the distributed model and are commonly equipped along with the shunt capacitors for reactive power compensations. A novel EV charging model is developed based on hybrid optimization approaches to tackle the issue. The charge level parameters of regional EV charging schedules are tuned with the help of a developed hybrid approach named Beluga Whale-Jaya Optimization (BWJO) derived via Beluga whale optimization (BWO) and JAYA optimization (JA) to attain the minimization of greenhouse gas emission acquired from electricity. Thus, the developed model has offered an enhanced performance rate when contrasted with conventional EV charging schedules schemes. Conference Object Beluga Beluga whale Beluga* Padua Research Archive (IRIS - Università degli Studi di Padova) Jaya ENVELOPE(11.688,11.688,-70.766,-70.766) 2023 IEEE 14th International Conference on Power Electronics and Drive Systems (PEDS) 1 6 |
institution |
Open Polar |
collection |
Padua Research Archive (IRIS - Università degli Studi di Padova) |
op_collection_id |
ftunivpadovairis |
language |
English |
topic |
Beluga Whale-Jaya Optimization Charge Scheduling Electric Vehicle Power Generation |
spellingShingle |
Beluga Whale-Jaya Optimization Charge Scheduling Electric Vehicle Power Generation Sagar A. Padmanaban S. Bertoluzzo M. A Novel Beluga Whale-Jaya Optimization for Effective EV Charge Scheduling in Power Generation |
topic_facet |
Beluga Whale-Jaya Optimization Charge Scheduling Electric Vehicle Power Generation |
description |
While considering the provision of the safest environment, it leads to the rapid growth of Electric Vehicles (EVs) that spread over the markets based on features like improvement of charging stations, economy, battery technology, and price. Moreover, the EV charging station placement issues are regarded as facility location issues. In addition, EV charging station placement issues have concerns about the electric distribution systems, the system losses, and the total number of convergences over the traffic network for voltage deviations. The voltage profile enhancement and loss minimization are considered two major issues obtained over the distributed model and are commonly equipped along with the shunt capacitors for reactive power compensations. A novel EV charging model is developed based on hybrid optimization approaches to tackle the issue. The charge level parameters of regional EV charging schedules are tuned with the help of a developed hybrid approach named Beluga Whale-Jaya Optimization (BWJO) derived via Beluga whale optimization (BWO) and JAYA optimization (JA) to attain the minimization of greenhouse gas emission acquired from electricity. Thus, the developed model has offered an enhanced performance rate when contrasted with conventional EV charging schedules schemes. |
author2 |
Sagar, A. Padmanaban, S. Bertoluzzo, M. |
format |
Conference Object |
author |
Sagar A. Padmanaban S. Bertoluzzo M. |
author_facet |
Sagar A. Padmanaban S. Bertoluzzo M. |
author_sort |
Sagar A. |
title |
A Novel Beluga Whale-Jaya Optimization for Effective EV Charge Scheduling in Power Generation |
title_short |
A Novel Beluga Whale-Jaya Optimization for Effective EV Charge Scheduling in Power Generation |
title_full |
A Novel Beluga Whale-Jaya Optimization for Effective EV Charge Scheduling in Power Generation |
title_fullStr |
A Novel Beluga Whale-Jaya Optimization for Effective EV Charge Scheduling in Power Generation |
title_full_unstemmed |
A Novel Beluga Whale-Jaya Optimization for Effective EV Charge Scheduling in Power Generation |
title_sort |
novel beluga whale-jaya optimization for effective ev charge scheduling in power generation |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
url |
https://hdl.handle.net/11577/3498940 https://doi.org/10.1109/PEDS57185.2023.10246690 |
long_lat |
ENVELOPE(11.688,11.688,-70.766,-70.766) |
geographic |
Jaya |
geographic_facet |
Jaya |
genre |
Beluga Beluga whale Beluga* |
genre_facet |
Beluga Beluga whale Beluga* |
op_relation |
info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-9996-7 ispartofbook:Proceedings of the International Conference on Power Electronics and Drive Systems 14th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2023 volume:2023- firstpage:1 lastpage:6 numberofpages:6 https://hdl.handle.net/11577/3498940 doi:10.1109/PEDS57185.2023.10246690 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85174031904 |
op_doi |
https://doi.org/10.1109/PEDS57185.2023.10246690 |
container_title |
2023 IEEE 14th International Conference on Power Electronics and Drive Systems (PEDS) |
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6 |
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