Loading…
Sampling Effect on Secondary Control of Microgrids via Consensus Protocol of Multi-Agent Systems
This paper addresses the sampling effect problem in the microgrids consisted of multiple agents; easy example is the distributed generator. We would like to pay attention to the secondary control problem of the microgrids. Inhere, the sampling effect will be analyzed as the main constraint among mul...
Saved in:
Published in: | IEEE access 2018-01, Vol.6, p.38535-38543 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c408t-342799a9c0550e35af6a1f3fbe4fb608ddab9518741c1b0af82ff8b07d216bd63 |
---|---|
cites | cdi_FETCH-LOGICAL-c408t-342799a9c0550e35af6a1f3fbe4fb608ddab9518741c1b0af82ff8b07d216bd63 |
container_end_page | 38543 |
container_issue | |
container_start_page | 38535 |
container_title | IEEE access |
container_volume | 6 |
creator | Park, Myeong Jin Lee, Seung-Hoon Kwon, Oh-Min Choi, Seong-Gon |
description | This paper addresses the sampling effect problem in the microgrids consisted of multiple agents; easy example is the distributed generator. We would like to pay attention to the secondary control problem of the microgrids. Inhere, the sampling effect will be analyzed as the main constraint among multiple distributed generators in the microgrids. To do this, the proposed secondary control scheme for the microgrids is modeled by employing a directed graph structure because the microgrids were based on the network communicated through one-way links. By constructing suitable Lyapunov-Krasovskii functional and using some mathematical theory, a sufficient control condition, which is formulated to the consensus protocol form, for the target problem will be derived in terms of LMI. Finally, the simulation example is illustrated to bring the necessity of the analysis of the sampling effect out in operation of the microgrids. |
doi_str_mv | 10.1109/ACCESS.2018.2854230 |
format | article |
fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_8409275</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8409275</ieee_id><doaj_id>oai_doaj_org_article_6f325ff323e6418cb727efd319c07011</doaj_id><sourcerecordid>2456066364</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-342799a9c0550e35af6a1f3fbe4fb608ddab9518741c1b0af82ff8b07d216bd63</originalsourceid><addsrcrecordid>eNpNUU1LAzEQXUTBov6CXgKet-Z7s8eyVC0oCqvnmM0mJWW7qUkq-O9N3SLmMBkm772ZySuKOYILhGB9t2yaVdsuMERigQWjmMCzYoYRr0vCCD__l18WNzFuYT4il1g1Kz5atdsPbtyAlbVGJ-BH0Brtx16Fb9D4MQU_AG_Bs9PBb4LrI_hy6vgSzRgPEbwGn7w-gQ5DcuVyY8YE2u-YzC5eFxdWDdHcnO6r4v1-9dY8lk8vD-tm-VRqCkUqCcVVXataQ8agIUxZrpAltjPUdhyKvlddzZCoKNKog8oKbK3oYNXn5bqek6tiPen2Xm3lPrhdXkB65eRvwYeNVCE5PRjJLcHM5kAMp0jorsKVsT1BuXsFEcpat5PWPvjPg4lJbv0hjHl8iSnjkHPCaUaRCZU_JsZg7F9XBOXRGTk5I4_OyJMzmTWfWM4Y88cQFNa4YuQHJuuJoA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2456066364</pqid></control><display><type>article</type><title>Sampling Effect on Secondary Control of Microgrids via Consensus Protocol of Multi-Agent Systems</title><source>IEEE Xplore Open Access Journals</source><creator>Park, Myeong Jin ; Lee, Seung-Hoon ; Kwon, Oh-Min ; Choi, Seong-Gon</creator><creatorcontrib>Park, Myeong Jin ; Lee, Seung-Hoon ; Kwon, Oh-Min ; Choi, Seong-Gon</creatorcontrib><description>This paper addresses the sampling effect problem in the microgrids consisted of multiple agents; easy example is the distributed generator. We would like to pay attention to the secondary control problem of the microgrids. Inhere, the sampling effect will be analyzed as the main constraint among multiple distributed generators in the microgrids. To do this, the proposed secondary control scheme for the microgrids is modeled by employing a directed graph structure because the microgrids were based on the network communicated through one-way links. By constructing suitable Lyapunov-Krasovskii functional and using some mathematical theory, a sufficient control condition, which is formulated to the consensus protocol form, for the target problem will be derived in terms of LMI. Finally, the simulation example is illustrated to bring the necessity of the analysis of the sampling effect out in operation of the microgrids.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2018.2854230</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Control theory ; Distributed generation ; Frequency control ; Generators ; Graph theory ; Microgrids ; Multi-agent systems ; Multiagent systems ; Protocols ; Sampling ; sampling effect ; stability criterion ; Symmetric matrices ; Voltage control</subject><ispartof>IEEE access, 2018-01, Vol.6, p.38535-38543</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-342799a9c0550e35af6a1f3fbe4fb608ddab9518741c1b0af82ff8b07d216bd63</citedby><cites>FETCH-LOGICAL-c408t-342799a9c0550e35af6a1f3fbe4fb608ddab9518741c1b0af82ff8b07d216bd63</cites><orcidid>0000-0002-4777-7912</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8409275$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,778,782,27620,27911,27912,54920</link.rule.ids></links><search><creatorcontrib>Park, Myeong Jin</creatorcontrib><creatorcontrib>Lee, Seung-Hoon</creatorcontrib><creatorcontrib>Kwon, Oh-Min</creatorcontrib><creatorcontrib>Choi, Seong-Gon</creatorcontrib><title>Sampling Effect on Secondary Control of Microgrids via Consensus Protocol of Multi-Agent Systems</title><title>IEEE access</title><addtitle>Access</addtitle><description>This paper addresses the sampling effect problem in the microgrids consisted of multiple agents; easy example is the distributed generator. We would like to pay attention to the secondary control problem of the microgrids. Inhere, the sampling effect will be analyzed as the main constraint among multiple distributed generators in the microgrids. To do this, the proposed secondary control scheme for the microgrids is modeled by employing a directed graph structure because the microgrids were based on the network communicated through one-way links. By constructing suitable Lyapunov-Krasovskii functional and using some mathematical theory, a sufficient control condition, which is formulated to the consensus protocol form, for the target problem will be derived in terms of LMI. Finally, the simulation example is illustrated to bring the necessity of the analysis of the sampling effect out in operation of the microgrids.</description><subject>Control theory</subject><subject>Distributed generation</subject><subject>Frequency control</subject><subject>Generators</subject><subject>Graph theory</subject><subject>Microgrids</subject><subject>Multi-agent systems</subject><subject>Multiagent systems</subject><subject>Protocols</subject><subject>Sampling</subject><subject>sampling effect</subject><subject>stability criterion</subject><subject>Symmetric matrices</subject><subject>Voltage control</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1LAzEQXUTBov6CXgKet-Z7s8eyVC0oCqvnmM0mJWW7qUkq-O9N3SLmMBkm772ZySuKOYILhGB9t2yaVdsuMERigQWjmMCzYoYRr0vCCD__l18WNzFuYT4il1g1Kz5atdsPbtyAlbVGJ-BH0Brtx16Fb9D4MQU_AG_Bs9PBb4LrI_hy6vgSzRgPEbwGn7w-gQ5DcuVyY8YE2u-YzC5eFxdWDdHcnO6r4v1-9dY8lk8vD-tm-VRqCkUqCcVVXataQ8agIUxZrpAltjPUdhyKvlddzZCoKNKog8oKbK3oYNXn5bqek6tiPen2Xm3lPrhdXkB65eRvwYeNVCE5PRjJLcHM5kAMp0jorsKVsT1BuXsFEcpat5PWPvjPg4lJbv0hjHl8iSnjkHPCaUaRCZU_JsZg7F9XBOXRGTk5I4_OyJMzmTWfWM4Y88cQFNa4YuQHJuuJoA</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Park, Myeong Jin</creator><creator>Lee, Seung-Hoon</creator><creator>Kwon, Oh-Min</creator><creator>Choi, Seong-Gon</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4777-7912</orcidid></search><sort><creationdate>20180101</creationdate><title>Sampling Effect on Secondary Control of Microgrids via Consensus Protocol of Multi-Agent Systems</title><author>Park, Myeong Jin ; Lee, Seung-Hoon ; Kwon, Oh-Min ; Choi, Seong-Gon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-342799a9c0550e35af6a1f3fbe4fb608ddab9518741c1b0af82ff8b07d216bd63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Control theory</topic><topic>Distributed generation</topic><topic>Frequency control</topic><topic>Generators</topic><topic>Graph theory</topic><topic>Microgrids</topic><topic>Multi-agent systems</topic><topic>Multiagent systems</topic><topic>Protocols</topic><topic>Sampling</topic><topic>sampling effect</topic><topic>stability criterion</topic><topic>Symmetric matrices</topic><topic>Voltage control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Myeong Jin</creatorcontrib><creatorcontrib>Lee, Seung-Hoon</creatorcontrib><creatorcontrib>Kwon, Oh-Min</creatorcontrib><creatorcontrib>Choi, Seong-Gon</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Xplore Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Xplore</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Myeong Jin</au><au>Lee, Seung-Hoon</au><au>Kwon, Oh-Min</au><au>Choi, Seong-Gon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sampling Effect on Secondary Control of Microgrids via Consensus Protocol of Multi-Agent Systems</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2018-01-01</date><risdate>2018</risdate><volume>6</volume><spage>38535</spage><epage>38543</epage><pages>38535-38543</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>This paper addresses the sampling effect problem in the microgrids consisted of multiple agents; easy example is the distributed generator. We would like to pay attention to the secondary control problem of the microgrids. Inhere, the sampling effect will be analyzed as the main constraint among multiple distributed generators in the microgrids. To do this, the proposed secondary control scheme for the microgrids is modeled by employing a directed graph structure because the microgrids were based on the network communicated through one-way links. By constructing suitable Lyapunov-Krasovskii functional and using some mathematical theory, a sufficient control condition, which is formulated to the consensus protocol form, for the target problem will be derived in terms of LMI. Finally, the simulation example is illustrated to bring the necessity of the analysis of the sampling effect out in operation of the microgrids.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2018.2854230</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-4777-7912</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2169-3536 |
ispartof | IEEE access, 2018-01, Vol.6, p.38535-38543 |
issn | 2169-3536 2169-3536 |
language | eng |
recordid | cdi_ieee_primary_8409275 |
source | IEEE Xplore Open Access Journals |
subjects | Control theory Distributed generation Frequency control Generators Graph theory Microgrids Multi-agent systems Multiagent systems Protocols Sampling sampling effect stability criterion Symmetric matrices Voltage control |
title | Sampling Effect on Secondary Control of Microgrids via Consensus Protocol of Multi-Agent Systems |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T17%3A50%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sampling%20Effect%20on%20Secondary%20Control%20of%20Microgrids%20via%20Consensus%20Protocol%20of%20Multi-Agent%20Systems&rft.jtitle=IEEE%20access&rft.au=Park,%20Myeong%20Jin&rft.date=2018-01-01&rft.volume=6&rft.spage=38535&rft.epage=38543&rft.pages=38535-38543&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2018.2854230&rft_dat=%3Cproquest_ieee_%3E2456066364%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c408t-342799a9c0550e35af6a1f3fbe4fb608ddab9518741c1b0af82ff8b07d216bd63%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2456066364&rft_id=info:pmid/&rft_ieee_id=8409275&rfr_iscdi=true |