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Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System

AMEENA AL-SOROUR, Meghdad Fazeli Orcid Logo, Mohammad Monfared Orcid Logo, Ashraf Fahmy Abdo Orcid Logo

IEEE Access, Volume: 11, Pages: 12489 - 12503

Swansea University Authors: AMEENA AL-SOROUR, Meghdad Fazeli Orcid Logo, Mohammad Monfared Orcid Logo, Ashraf Fahmy Abdo Orcid Logo

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DOI (Published version): 10.1109/access.2023.3242052

Abstract

The rapid increase in integration of Electric Vehicles (EVs) and Renewable Energy Sources (RESs) at the consumption level poses many challenges for network operators. Recently, Peer-to-Peer (P2P) energy trading has been considered as an effective approach for managing RESs, EVs, and providing market...

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Published in: IEEE Access
ISSN: 2169-3536
Published: Institute of Electrical and Electronics Engineers (IEEE) 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa62478
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spelling 2023-03-02T15:27:52.7507533 v2 62478 2023-02-01 Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System c7f99f53e93e5363ed852906cf8dcf12 AMEENA AL-SOROUR AMEENA AL-SOROUR true false b7aae4026707ed626d812d07018a2113 0000-0003-1448-5339 Meghdad Fazeli Meghdad Fazeli true false adab4560ff08c8e5181ff3f12a4c36fb 0000-0002-8987-0883 Mohammad Monfared Mohammad Monfared true false b952b837f8a8447055210d209892b427 0000-0003-1624-1725 Ashraf Fahmy Abdo Ashraf Fahmy Abdo true false 2023-02-01 The rapid increase in integration of Electric Vehicles (EVs) and Renewable Energy Sources (RESs) at the consumption level poses many challenges for network operators. Recently, Peer-to-Peer (P2P) energy trading has been considered as an effective approach for managing RESs, EVs, and providing market solutions. This paper investigates the effect of EVs and shiftable loads on P2P energy trading with enhanced Vehicle to Home (V2H) mode, and proposes an optimized Energy Management Systems aimed to reduce the net energy exchange with the grid. Mixed-integer linear programming (MILP) is used to find optimal energy scheduling for smart houses in a community. Results show that the V2H mode reduces the overall energy costs of each prosumer by up to 23% compared to operating without V2H mode (i.e., EVs act as a load only). It also reduces the overall energy costs of the community by 15% compared to the houses operating without the V2H mode. Moreover, it reduces the absolute net energy exchanged between the community and the grid by 3%, which enhances the energy independence of the community. Journal Article IEEE Access 11 12489 12503 Institute of Electrical and Electronics Engineers (IEEE) 2169-3536 3 2 2023 2023-02-03 10.1109/access.2023.3242052 COLLEGE NANME COLLEGE CODE Swansea University Other This work was supported by Qatar National Research Fund (a member of Qatar Foundation) through QRLP10-G-19022034 grant 2023-03-02T15:27:52.7507533 2023-02-01T11:50:09.7993983 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering AMEENA AL-SOROUR 1 Meghdad Fazeli 0000-0003-1448-5339 2 Mohammad Monfared 0000-0002-8987-0883 3 Ashraf Fahmy Abdo 0000-0003-1624-1725 4 62478__26727__6b376fc232584a5b937f4e56f71a4c81.pdf 62478_VoR.pdf 2023-03-02T15:26:03.0986436 Output 1886118 application/pdf Version of Record true This work is licensed under a Creative Commons Attribution 4.0 License. true eng https://creativecommons.org/licenses/by/4.0/
title Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System
spellingShingle Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System
AMEENA AL-SOROUR
Meghdad Fazeli
Mohammad Monfared
Ashraf Fahmy Abdo
title_short Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System
title_full Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System
title_fullStr Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System
title_full_unstemmed Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System
title_sort Investigation of Electric Vehicles Contributions in an Optimized Peer-to-Peer Energy Trading System
author_id_str_mv c7f99f53e93e5363ed852906cf8dcf12
b7aae4026707ed626d812d07018a2113
adab4560ff08c8e5181ff3f12a4c36fb
b952b837f8a8447055210d209892b427
author_id_fullname_str_mv c7f99f53e93e5363ed852906cf8dcf12_***_AMEENA AL-SOROUR
b7aae4026707ed626d812d07018a2113_***_Meghdad Fazeli
adab4560ff08c8e5181ff3f12a4c36fb_***_Mohammad Monfared
b952b837f8a8447055210d209892b427_***_Ashraf Fahmy Abdo
author AMEENA AL-SOROUR
Meghdad Fazeli
Mohammad Monfared
Ashraf Fahmy Abdo
author2 AMEENA AL-SOROUR
Meghdad Fazeli
Mohammad Monfared
Ashraf Fahmy Abdo
format Journal article
container_title IEEE Access
container_volume 11
container_start_page 12489
publishDate 2023
institution Swansea University
issn 2169-3536
doi_str_mv 10.1109/access.2023.3242052
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
document_store_str 1
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description The rapid increase in integration of Electric Vehicles (EVs) and Renewable Energy Sources (RESs) at the consumption level poses many challenges for network operators. Recently, Peer-to-Peer (P2P) energy trading has been considered as an effective approach for managing RESs, EVs, and providing market solutions. This paper investigates the effect of EVs and shiftable loads on P2P energy trading with enhanced Vehicle to Home (V2H) mode, and proposes an optimized Energy Management Systems aimed to reduce the net energy exchange with the grid. Mixed-integer linear programming (MILP) is used to find optimal energy scheduling for smart houses in a community. Results show that the V2H mode reduces the overall energy costs of each prosumer by up to 23% compared to operating without V2H mode (i.e., EVs act as a load only). It also reduces the overall energy costs of the community by 15% compared to the houses operating without the V2H mode. Moreover, it reduces the absolute net energy exchanged between the community and the grid by 3%, which enhances the energy independence of the community.
published_date 2023-02-03T04:22:07Z
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score 11.017797

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