Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique

Elshenawy, Mahmoud; Abdo, Ashraf Fahmy; Elsamahy, Adel; Kandil, Shaimaa. A.; El, Helmy M.

doi:10.3390/en15197026

Journal article 445 views 134 downloads

Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique

Mahmoud Elshenawy

, Ashraf Fahmy Abdo

, Adel Elsamahy, Shaimaa. A. Kandil, Helmy M. El Zoghby

Energies, Volume: 15, Issue: 19, Start page: 7026

Swansea University Author: Ashraf Fahmy Abdo

PDF | Version of Record

Copyright: © 2022 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Download (4.35MB)

Check full text

DOI (Published version): 10.3390/en15197026

Abstract

Two interconnected AC microgrids are proposed based on three renewable energy sources (RESs): wind, solar, and biogas. The wind turbine drives a permanent magnet synchronous generator (PMSG). A solar photovoltaic system (SPVS) with an appropriate inverter was incorporated. The biogas genset (BG) con...

Full description

Published in:	Energies
ISSN:	1996-1073
Published:	MDPI AG 2022
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa61349
Tags:	Add Tag No Tags, Be the first to tag this record!

first_indexed	2022-09-26T13:25:42Z
last_indexed	2023-01-13T19:22:04Z
id	cronfa61349
recordtype	SURis
fullrecord	<?xml version="1.0"?><rfc1807><datestamp>2022-10-12T12:16:11.2066373</datestamp><bib-version>v2</bib-version><id>61349</id><entry>2022-09-26</entry><title>Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique</title><swanseaauthors><author><sid>b952b837f8a8447055210d209892b427</sid><ORCID>0000-0003-1624-1725</ORCID><firstname>Ashraf</firstname><surname>Fahmy Abdo</surname><name>Ashraf Fahmy Abdo</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-09-26</date><deptcode>MECH</deptcode><abstract>Two interconnected AC microgrids are proposed based on three renewable energy sources (RESs): wind, solar, and biogas. The wind turbine drives a permanent magnet synchronous generator (PMSG). A solar photovoltaic system (SPVS) with an appropriate inverter was incorporated. The biogas genset (BG) consists of a biogas engine coupled with a synchronous generator. Two interconnected AC microgrids, M1 and M2, were considered for study in this work. The microgrid M2 is connected to a diesel engine (DE) characterized by a continuous power supply. The distribution power loss of the interconnected AC microgrids comprises in line loss. The M1 and M2 losses are modeled as an objective function (OF). The power quality enhancement of the interconnected microgrids will be achieved by minimizing this OF. This research also created a unique frequency control method called virtual inertia control (VIC), which stabilizes the microgrid frequency using an optimal controller. In this paper, the following five controllers are studied: a proportional integral controller (PI), a fractional order PI controller (FOPI), a fuzzy PI controller (FPI), a fuzzy fractional order PI controller (FFOPI), and a VIC based on FFOPI controller. The five controllers were tuned using particle swarm optimization (PSO) to minimize the (OF). The main contribution of this paper is the comprehensive study of the performance of interconnected AC microgrids under step load disturbances, stepn changes in wind/solar input power, and eventually grid following/forming contingencies as well as the virtual inertia control of renewable energy resources used in the structure of the microgrids</abstract><type>Journal Article</type><journal>Energies</journal><volume>15</volume><journalNumber>19</journalNumber><paginationStart>7026</paginationStart><paginationEnd/><publisher>MDPI AG</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>1996-1073</issnElectronic><keywords>contingency of power system; energy storage system (ESS); fuzzy fractional order PI (FFOPI); fuzzy PI (FPI); multi-objective optimization; microgrid; power quality enhancement; particle swarm optimization (PSO); virtual inertia control</keywords><publishedDay>24</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-09-24</publishedDate><doi>10.3390/en15197026</doi><url/><notes/><college>COLLEGE NANME</college><department>Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MECH</DepartmentCode><institution>Swansea University</institution><apcterm>Payment of the OA fee split between two institutions</apcterm><funders>Swansea University, Faculty of Science and Engineering. Astute Wales project (Advanced Sustainable Manufacturing Technologies) part-funded by the European Regional Development Fund through the Welsh Government and the participating Higher Education Institutions under grant number APCFSE11.</funders><projectreference/><lastEdited>2022-10-12T12:16:11.2066373</lastEdited><Created>2022-09-26T14:20:29.7466385</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering</level></path><authors><author><firstname>Mahmoud</firstname><surname>Elshenawy</surname><orcid>0000-0002-9278-2833</orcid><order>1</order></author><author><firstname>Ashraf</firstname><surname>Fahmy Abdo</surname><orcid>0000-0003-1624-1725</orcid><order>2</order></author><author><firstname>Adel</firstname><surname>Elsamahy</surname><order>3</order></author><author><firstname>Shaimaa. A.</firstname><surname>Kandil</surname><order>4</order></author><author><firstname>Helmy M. El</firstname><surname>Zoghby</surname><orcid>0000-0001-7265-5901</orcid><order>5</order></author></authors><documents><document><filename>61349__25228__a80ca24df051421cbaf008266eb612cd.pdf</filename><originalFilename>61349.VOR.pdf</originalFilename><uploaded>2022-09-26T14:38:25.7463504</uploaded><type>Output</type><contentLength>4565106</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Copyright: © 2022 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://cre-ativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling	2022-10-12T12:16:11.2066373 v2 61349 2022-09-26 Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique b952b837f8a8447055210d209892b427 0000-0003-1624-1725 Ashraf Fahmy Abdo Ashraf Fahmy Abdo true false 2022-09-26 MECH Two interconnected AC microgrids are proposed based on three renewable energy sources (RESs): wind, solar, and biogas. The wind turbine drives a permanent magnet synchronous generator (PMSG). A solar photovoltaic system (SPVS) with an appropriate inverter was incorporated. The biogas genset (BG) consists of a biogas engine coupled with a synchronous generator. Two interconnected AC microgrids, M1 and M2, were considered for study in this work. The microgrid M2 is connected to a diesel engine (DE) characterized by a continuous power supply. The distribution power loss of the interconnected AC microgrids comprises in line loss. The M1 and M2 losses are modeled as an objective function (OF). The power quality enhancement of the interconnected microgrids will be achieved by minimizing this OF. This research also created a unique frequency control method called virtual inertia control (VIC), which stabilizes the microgrid frequency using an optimal controller. In this paper, the following five controllers are studied: a proportional integral controller (PI), a fractional order PI controller (FOPI), a fuzzy PI controller (FPI), a fuzzy fractional order PI controller (FFOPI), and a VIC based on FFOPI controller. The five controllers were tuned using particle swarm optimization (PSO) to minimize the (OF). The main contribution of this paper is the comprehensive study of the performance of interconnected AC microgrids under step load disturbances, stepn changes in wind/solar input power, and eventually grid following/forming contingencies as well as the virtual inertia control of renewable energy resources used in the structure of the microgrids Journal Article Energies 15 19 7026 MDPI AG 1996-1073 contingency of power system; energy storage system (ESS); fuzzy fractional order PI (FFOPI); fuzzy PI (FPI); multi-objective optimization; microgrid; power quality enhancement; particle swarm optimization (PSO); virtual inertia control 24 9 2022 2022-09-24 10.3390/en15197026 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University Payment of the OA fee split between two institutions Swansea University, Faculty of Science and Engineering. Astute Wales project (Advanced Sustainable Manufacturing Technologies) part-funded by the European Regional Development Fund through the Welsh Government and the participating Higher Education Institutions under grant number APCFSE11. 2022-10-12T12:16:11.2066373 2022-09-26T14:20:29.7466385 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Mahmoud Elshenawy 0000-0002-9278-2833 1 Ashraf Fahmy Abdo 0000-0003-1624-1725 2 Adel Elsamahy 3 Shaimaa. A. Kandil 4 Helmy M. El Zoghby 0000-0001-7265-5901 5 61349__25228__a80ca24df051421cbaf008266eb612cd.pdf 61349.VOR.pdf 2022-09-26T14:38:25.7463504 Output 4565106 application/pdf Version of Record true Copyright: © 2022 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. true eng https://cre-ativecommons.org/licenses/by/4.0/
title	Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique
spellingShingle	Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique Ashraf Fahmy Abdo
title_short	Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique
title_full	Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique
title_fullStr	Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique
title_full_unstemmed	Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique
title_sort	Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique
author_id_str_mv	b952b837f8a8447055210d209892b427
author_id_fullname_str_mv	b952b837f8a8447055210d209892b427_***_Ashraf Fahmy Abdo
author	Ashraf Fahmy Abdo
author2	Mahmoud Elshenawy Ashraf Fahmy Abdo Adel Elsamahy Shaimaa. A. Kandil Helmy M. El Zoghby
format	Journal article
container_title	Energies
container_volume	15
container_issue	19
container_start_page	7026
publishDate	2022
institution	Swansea University
issn	1996-1073
doi_str_mv	10.3390/en15197026
publisher	MDPI AG
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 - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
document_store_str	1
active_str	0
description	Two interconnected AC microgrids are proposed based on three renewable energy sources (RESs): wind, solar, and biogas. The wind turbine drives a permanent magnet synchronous generator (PMSG). A solar photovoltaic system (SPVS) with an appropriate inverter was incorporated. The biogas genset (BG) consists of a biogas engine coupled with a synchronous generator. Two interconnected AC microgrids, M1 and M2, were considered for study in this work. The microgrid M2 is connected to a diesel engine (DE) characterized by a continuous power supply. The distribution power loss of the interconnected AC microgrids comprises in line loss. The M1 and M2 losses are modeled as an objective function (OF). The power quality enhancement of the interconnected microgrids will be achieved by minimizing this OF. This research also created a unique frequency control method called virtual inertia control (VIC), which stabilizes the microgrid frequency using an optimal controller. In this paper, the following five controllers are studied: a proportional integral controller (PI), a fractional order PI controller (FOPI), a fuzzy PI controller (FPI), a fuzzy fractional order PI controller (FFOPI), and a VIC based on FFOPI controller. The five controllers were tuned using particle swarm optimization (PSO) to minimize the (OF). The main contribution of this paper is the comprehensive study of the performance of interconnected AC microgrids under step load disturbances, stepn changes in wind/solar input power, and eventually grid following/forming contingencies as well as the virtual inertia control of renewable energy resources used in the structure of the microgrids
published_date	2022-09-24T04:20:08Z
_version_	1763754333759864832
score	11.013148

Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique

Similar Items