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MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts

Ameena 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: 29357 - 29366

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.2022.3158303

Abstract

This paper proposes an Energy Management System (EMS) for domestic PV-battery applications with the aim of reducing the absolute net energy exchange with the utility grid by utilizing the two days-ahead energy forecasts in the optimization process. A Mixed-Integer Linear Programming (MILP) exploits...

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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/cronfa59598
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A Mixed-Integer Linear Programming (MILP) exploits two days-ahead energy demand and PV generation forecasts to schedule the day-ahead battery energy exchange with both the utility grid and the PV generator. The proposed scheme is tested using the real data of the Active Office Building (AOB) located in Swansea University, UK. Performance comparisons with state-of-the-art and the commercial EMS currently running at the AOB reveal that the proposed EMS increases the self-consumption of PV energy and at the same time reduces the total energy cost. The absolute net energy exchange with the grid and the total operating costs are reduced by 121% and 54% compared to the state-of-the-art and 194% and 8% when compared to the commercial EMS over a six-month period. Furthermore, the results show that the pro-posed method can reduce the energy bill by up to 46%for the same period compared to the state-of-the-art. The paper also investigates the effect of using different objective functions on the performance of the EMS and shows that the proposed EMS operate more efficiently when it is compared with another cost function that directly promotes reducing the absolute net energy exchange.</abstract><type>Journal Article</type><journal>IEEE Access</journal><volume>10</volume><journalNumber/><paginationStart>29357</paginationStart><paginationEnd>29366</paginationEnd><publisher>Institute of Electrical and Electronics Engineers (IEEE)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2169-3536</issnPrint><issnElectronic>2169-3536</issnElectronic><keywords/><publishedDay>21</publishedDay><publishedMonth>3</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-03-21</publishedDate><doi>10.1109/access.2022.3158303</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/><funders>This study was made possible by Qatar National Research Fund (a member of Qatar Foundation) through QRLP10-G-19022034 grant. This work is also supported by SPECIFIC-IKC, which is funded in part by the Engineering and Physical Science Research Council under Grant EP/N020863/1, in part by the Innovate UK under Grant 920036, and in part by the European Regional Development Fund under Grant c80892 through the Welsh Government.</funders><lastEdited>2022-03-25T17:46:14.9856383</lastEdited><Created>2022-03-14T09:23:59.8558246</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>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>59598__23676__07e9d63364ce4f62a4702347059503a5.pdf</filename><originalFilename>59598.pdf</originalFilename><uploaded>2022-03-25T17:44:14.0358164</uploaded><type>Output</type><contentLength>5565024</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This work is licensed under a Creative Commons Attribution 4.0 License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-03-25T17:46:14.9856383 v2 59598 2022-03-14 MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts 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 6b3559a0b9ac5d4048d50c09d0a5b42e Richard Lewis Richard Lewis true false 2022-03-14 EEEG This paper proposes an Energy Management System (EMS) for domestic PV-battery applications with the aim of reducing the absolute net energy exchange with the utility grid by utilizing the two days-ahead energy forecasts in the optimization process. A Mixed-Integer Linear Programming (MILP) exploits two days-ahead energy demand and PV generation forecasts to schedule the day-ahead battery energy exchange with both the utility grid and the PV generator. The proposed scheme is tested using the real data of the Active Office Building (AOB) located in Swansea University, UK. Performance comparisons with state-of-the-art and the commercial EMS currently running at the AOB reveal that the proposed EMS increases the self-consumption of PV energy and at the same time reduces the total energy cost. The absolute net energy exchange with the grid and the total operating costs are reduced by 121% and 54% compared to the state-of-the-art and 194% and 8% when compared to the commercial EMS over a six-month period. Furthermore, the results show that the pro-posed method can reduce the energy bill by up to 46%for the same period compared to the state-of-the-art. The paper also investigates the effect of using different objective functions on the performance of the EMS and shows that the proposed EMS operate more efficiently when it is compared with another cost function that directly promotes reducing the absolute net energy exchange. Journal Article IEEE Access 10 29357 29366 Institute of Electrical and Electronics Engineers (IEEE) 2169-3536 2169-3536 21 3 2022 2022-03-21 10.1109/access.2022.3158303 COLLEGE NANME Electronic and Electrical Engineering COLLEGE CODE EEEG Swansea University This study was made possible by Qatar National Research Fund (a member of Qatar Foundation) through QRLP10-G-19022034 grant. This work is also supported by SPECIFIC-IKC, which is funded in part by the Engineering and Physical Science Research Council under Grant EP/N020863/1, in part by the Innovate UK under Grant 920036, and in part by the European Regional Development Fund under Grant c80892 through the Welsh Government. 2022-03-25T17:46:14.9856383 2022-03-14T09:23:59.8558246 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Ameena 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 59598__23676__07e9d63364ce4f62a4702347059503a5.pdf 59598.pdf 2022-03-25T17:44:14.0358164 Output 5565024 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 MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts
spellingShingle MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts
Meghdad Fazeli
Mohammad Monfared
Ashraf Fahmy Abdo
Justin Searle
Richard Lewis
title_short MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts
title_full MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts
title_fullStr MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts
title_full_unstemmed MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts
title_sort MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts
author_id_str_mv b7aae4026707ed626d812d07018a2113
adab4560ff08c8e5181ff3f12a4c36fb
b952b837f8a8447055210d209892b427
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6b3559a0b9ac5d4048d50c09d0a5b42e
author_id_fullname_str_mv b7aae4026707ed626d812d07018a2113_***_Meghdad Fazeli
adab4560ff08c8e5181ff3f12a4c36fb_***_Mohammad Monfared
b952b837f8a8447055210d209892b427_***_Ashraf Fahmy Abdo
0e3f2c3812f181eaed11c45554d4cdd0_***_Justin Searle
6b3559a0b9ac5d4048d50c09d0a5b42e_***_Richard Lewis
author Meghdad Fazeli
Mohammad Monfared
Ashraf Fahmy Abdo
Justin Searle
Richard Lewis
author2 Ameena 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 29357
publishDate 2022
institution Swansea University
issn 2169-3536
2169-3536
doi_str_mv 10.1109/access.2022.3158303
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 This paper proposes an Energy Management System (EMS) for domestic PV-battery applications with the aim of reducing the absolute net energy exchange with the utility grid by utilizing the two days-ahead energy forecasts in the optimization process. A Mixed-Integer Linear Programming (MILP) exploits two days-ahead energy demand and PV generation forecasts to schedule the day-ahead battery energy exchange with both the utility grid and the PV generator. The proposed scheme is tested using the real data of the Active Office Building (AOB) located in Swansea University, UK. Performance comparisons with state-of-the-art and the commercial EMS currently running at the AOB reveal that the proposed EMS increases the self-consumption of PV energy and at the same time reduces the total energy cost. The absolute net energy exchange with the grid and the total operating costs are reduced by 121% and 54% compared to the state-of-the-art and 194% and 8% when compared to the commercial EMS over a six-month period. Furthermore, the results show that the pro-posed method can reduce the energy bill by up to 46%for the same period compared to the state-of-the-art. The paper also investigates the effect of using different objective functions on the performance of the EMS and shows that the proposed EMS operate more efficiently when it is compared with another cost function that directly promotes reducing the absolute net energy exchange.
published_date 2022-03-21T04:17:02Z
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score 11.036531

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