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Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading

Ameena Al-Sorour Orcid Logo, Meghdad Fazeli Orcid Logo, Mohammad Monfared Orcid Logo, Ashraf Fahmy Abdo Orcid Logo, Justin Searle Orcid Logo, Richard Lewis

IEEE Access, Volume: 10, Pages: 93760 - 93772

Swansea University Authors: Meghdad Fazeli Orcid Logo, Mohammad Monfared Orcid Logo, Ashraf Fahmy Abdo Orcid Logo, Justin Searle Orcid Logo, Richard Lewis

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DOI (Published version): 10.1109/access.2022.3202649

Abstract

The high penetration of Distributed Energy Resources (DERs) into the demand side has led to an increase in the number of consumers becoming prosumers. Recently, Peer-to-Peer (P2P) energy trading has gained increased popularity as it is considered an effective approach for managing DERs and offering...

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Published in: IEEE Access
ISSN: 2169-3536 2169-3536
Published: Institute of Electrical and Electronics Engineers (IEEE) 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60988
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Recently, Peer-to-Peer (P2P) energy trading has gained increased popularity as it is considered an effective approach for managing DERs and offering local market solutions. This paper presents a P2P Energy Management System (EMS) that aims to reduce the absolute net energy exchange with the utility by exploiting two days-ahead energy forecast and allowing the exchange of the surplus energy among prosumers. Mixed-Integer Linear Programming (MILP) is used to schedule the day-ahead household battery energy exchange with the utility and other prosumers. The proposed system is tested using the measured data for a community of six houses located in London, UK. The proposed P2P EMS enhanced the energy independency of the community by reducing the exchanged energy with the utility. The results show that the proposed P2P EMS reduced the household operating costs by up to 18.8% when it is operated as part of the community over four months compared to operating individually. In addition, it reduced the community&#x2019;s total absolute net energy exchange with the utility by nearly 25.4% compared to a previous state-of-the-art energy management method.</abstract><type>Journal Article</type><journal>IEEE Access</journal><volume>10</volume><journalNumber/><paginationStart>93760</paginationStart><paginationEnd>93772</paginationEnd><publisher>Institute of Electrical and Electronics Engineers (IEEE)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2169-3536</issnPrint><issnElectronic>2169-3536</issnElectronic><keywords/><publishedDay>29</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-08-29</publishedDate><doi>10.1109/access.2022.3202649</doi><url/><notes/><college>COLLEGE NANME</college><department>Electronic and Electrical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EEEG</DepartmentCode><institution>Swansea University</institution><apcterm>Another institution paid the OA fee</apcterm><funders>This work was supported by Qatar National Research Fund (a member of Qatar Foundation) through QRLP10-G-19022034 grant.</funders><projectreference/><lastEdited>2023-01-04T15:41:53.4416816</lastEdited><Created>2022-08-31T09:28:24.1577649</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Materials Science and Engineering</level></path><authors><author><firstname>Ameena</firstname><surname>Al-Sorour</surname><orcid>0000-0003-1144-2587</orcid><order>1</order></author><author><firstname>Meghdad</firstname><surname>Fazeli</surname><orcid>0000-0003-1448-5339</orcid><order>2</order></author><author><firstname>Mohammad</firstname><surname>Monfared</surname><orcid>0000-0002-8987-0883</orcid><order>3</order></author><author><firstname>Ashraf</firstname><surname>Fahmy Abdo</surname><orcid>0000-0003-1624-1725</orcid><order>4</order></author><author><firstname>Justin</firstname><surname>Searle</surname><orcid>0000-0003-1101-075X</orcid><order>5</order></author><author><firstname>Richard</firstname><surname>Lewis</surname><order>6</order></author></authors><documents><document><filename>60988__25204__d8e1f0029a79422b88c8724c6699ae7d.pdf</filename><originalFilename>60988_VoR.pdf</originalFilename><uploaded>2022-09-23T13:20:56.1072681</uploaded><type>Output</type><contentLength>1362890</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2023-01-04T15:41:53.4416816 v2 60988 2022-08-31 Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading 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 0e3f2c3812f181eaed11c45554d4cdd0 0000-0003-1101-075X Justin Searle Justin Searle true false 82508cf6b19cb66869a61ac191f325d3 Richard Lewis Richard Lewis true false 2022-08-31 EEEG The high penetration of Distributed Energy Resources (DERs) into the demand side has led to an increase in the number of consumers becoming prosumers. Recently, Peer-to-Peer (P2P) energy trading has gained increased popularity as it is considered an effective approach for managing DERs and offering local market solutions. This paper presents a P2P Energy Management System (EMS) that aims to reduce the absolute net energy exchange with the utility by exploiting two days-ahead energy forecast and allowing the exchange of the surplus energy among prosumers. Mixed-Integer Linear Programming (MILP) is used to schedule the day-ahead household battery energy exchange with the utility and other prosumers. The proposed system is tested using the measured data for a community of six houses located in London, UK. The proposed P2P EMS enhanced the energy independency of the community by reducing the exchanged energy with the utility. The results show that the proposed P2P EMS reduced the household operating costs by up to 18.8% when it is operated as part of the community over four months compared to operating individually. In addition, it reduced the community’s total absolute net energy exchange with the utility by nearly 25.4% compared to a previous state-of-the-art energy management method. Journal Article IEEE Access 10 93760 93772 Institute of Electrical and Electronics Engineers (IEEE) 2169-3536 2169-3536 29 8 2022 2022-08-29 10.1109/access.2022.3202649 COLLEGE NANME Electronic and Electrical Engineering COLLEGE CODE EEEG Swansea University Another institution paid the OA fee This work was supported by Qatar National Research Fund (a member of Qatar Foundation) through QRLP10-G-19022034 grant. 2023-01-04T15:41:53.4416816 2022-08-31T09:28:24.1577649 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Ameena Al-Sorour 0000-0003-1144-2587 1 Meghdad Fazeli 0000-0003-1448-5339 2 Mohammad Monfared 0000-0002-8987-0883 3 Ashraf Fahmy Abdo 0000-0003-1624-1725 4 Justin Searle 0000-0003-1101-075X 5 Richard Lewis 6 60988__25204__d8e1f0029a79422b88c8724c6699ae7d.pdf 60988_VoR.pdf 2022-09-23T13:20:56.1072681 Output 1362890 application/pdf Version of Record true This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading
spellingShingle Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading
Meghdad Fazeli
Mohammad Monfared
Ashraf Fahmy Abdo
Justin Searle
Richard Lewis
title_short Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading
title_full Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading
title_fullStr Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading
title_full_unstemmed Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading
title_sort Enhancing PV Self-Consumption Within an Energy Community Using MILP-Based P2P Trading
author_id_str_mv b7aae4026707ed626d812d07018a2113
adab4560ff08c8e5181ff3f12a4c36fb
b952b837f8a8447055210d209892b427
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82508cf6b19cb66869a61ac191f325d3
author_id_fullname_str_mv b7aae4026707ed626d812d07018a2113_***_Meghdad Fazeli
adab4560ff08c8e5181ff3f12a4c36fb_***_Mohammad Monfared
b952b837f8a8447055210d209892b427_***_Ashraf Fahmy Abdo
0e3f2c3812f181eaed11c45554d4cdd0_***_Justin Searle
82508cf6b19cb66869a61ac191f325d3_***_Richard Lewis
author Meghdad Fazeli
Mohammad Monfared
Ashraf Fahmy Abdo
Justin Searle
Richard Lewis
author2 Ameena Al-Sorour
Meghdad Fazeli
Mohammad Monfared
Ashraf Fahmy Abdo
Justin Searle
Richard Lewis
format Journal article
container_title IEEE Access
container_volume 10
container_start_page 93760
publishDate 2022
institution Swansea University
issn 2169-3536
2169-3536
doi_str_mv 10.1109/access.2022.3202649
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 Engineering and Applied Sciences - Materials Science and Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Materials Science and Engineering
document_store_str 1
active_str 0
description The high penetration of Distributed Energy Resources (DERs) into the demand side has led to an increase in the number of consumers becoming prosumers. Recently, Peer-to-Peer (P2P) energy trading has gained increased popularity as it is considered an effective approach for managing DERs and offering local market solutions. This paper presents a P2P Energy Management System (EMS) that aims to reduce the absolute net energy exchange with the utility by exploiting two days-ahead energy forecast and allowing the exchange of the surplus energy among prosumers. Mixed-Integer Linear Programming (MILP) is used to schedule the day-ahead household battery energy exchange with the utility and other prosumers. The proposed system is tested using the measured data for a community of six houses located in London, UK. The proposed P2P EMS enhanced the energy independency of the community by reducing the exchanged energy with the utility. The results show that the proposed P2P EMS reduced the household operating costs by up to 18.8% when it is operated as part of the community over four months compared to operating individually. In addition, it reduced the community’s total absolute net energy exchange with the utility by nearly 25.4% compared to a previous state-of-the-art energy management method.
published_date 2022-08-29T04:19:33Z
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