Distributed Resilient Adaptive Control of Islanded Microgrids Under Sensor/Actuator Faults
To compensate for the voltage and frequency deviations caused by the droop control in islanded microgrids (MGs), employing an additional control level, called the secondary control, is necessary. Therefore, distributed control methods based on the sparse communication network, are recently employed...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on smart grid 2020-05, Vol.11 (3), p.2699-2708 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2708 |
---|---|
container_issue | 3 |
container_start_page | 2699 |
container_title | IEEE transactions on smart grid |
container_volume | 11 |
creator | Dehkordi, Nima Mahdian Moussavi, Seyed Zeinolabedin |
description | To compensate for the voltage and frequency deviations caused by the droop control in islanded microgrids (MGs), employing an additional control level, called the secondary control, is necessary. Therefore, distributed control methods based on the sparse communication network, are recently employed in secondary control of MGs, because they are more reliable and flexible. However, traditional methods use the centralized communication network, which is neither economical nor efficient due to its large communication burden. Distributed control methods solve many challenges in the secondary layer of MGs, such as disturbances, uncertainties, unmodelled dynamics, noises, delays, attacks, and actuator faults. This paper proposes the novel resilient adaptive consensus-based voltage and frequency control protocols to compensate for the adverse effects of both sensor and actuator faults in communication network channels of islanded MGs. To this end, local adaptive sensor and actuator compensators eliminate the adverse effects of failures on sensors and actuators. The robust stability analysis based on the Lyapunov analysis is given to validate the results. Finally, the understudy islanded MG system is built in MATLAB/SimPowerSystems to verify the theoretical results. It is shown that the proposed secondary control strategies based on the adaptive protocols can highly increase the reliability and resiliency of the MG system compared with the existing distributed resilient methods. |
doi_str_mv | 10.1109/TSG.2019.2960205 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2393785681</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8935105</ieee_id><sourcerecordid>2393785681</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-ebafa62e37605603e11222fb83c5fab8024141ec1d562682ecc772ca70608ee53</originalsourceid><addsrcrecordid>eNo9kE1LAzEQhoMoWGrvgpeA57b5aLKbY6m2FiqCbS9eQjY7KynrpiZZwX9vpKVzmWHmeWeGF6F7SiaUEjXdbVcTRqiaMCUJI-IKDaiaqTEnkl5fasFv0SjGA8nBOZdMDdDHk4spuKpPUON3iK510CU8r80xuR_AC9-l4FvsG7yOrenqjL06G_xncHXE-9wIeAtd9GE6t6k3yQe8NH2b4h26aUwbYXTOQ7RfPu8WL-PN22q9mG_GlimaxlCZxkgGvJBESMKBUsZYU5XcisZUJWEzOqNgaS0kkyUDa4uCWVMQSUoAwYfo8bT3GPx3DzHpg-9Dl09qxhUvSiFLmilyovLvMQZo9DG4LxN-NSX630SdTdT_JuqziVnycJI4ALjgpeKC5ukfUXxtMA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2393785681</pqid></control><display><type>article</type><title>Distributed Resilient Adaptive Control of Islanded Microgrids Under Sensor/Actuator Faults</title><source>IEEE Electronic Library (IEL)</source><creator>Dehkordi, Nima Mahdian ; Moussavi, Seyed Zeinolabedin</creator><creatorcontrib>Dehkordi, Nima Mahdian ; Moussavi, Seyed Zeinolabedin</creatorcontrib><description>To compensate for the voltage and frequency deviations caused by the droop control in islanded microgrids (MGs), employing an additional control level, called the secondary control, is necessary. Therefore, distributed control methods based on the sparse communication network, are recently employed in secondary control of MGs, because they are more reliable and flexible. However, traditional methods use the centralized communication network, which is neither economical nor efficient due to its large communication burden. Distributed control methods solve many challenges in the secondary layer of MGs, such as disturbances, uncertainties, unmodelled dynamics, noises, delays, attacks, and actuator faults. This paper proposes the novel resilient adaptive consensus-based voltage and frequency control protocols to compensate for the adverse effects of both sensor and actuator faults in communication network channels of islanded MGs. To this end, local adaptive sensor and actuator compensators eliminate the adverse effects of failures on sensors and actuators. The robust stability analysis based on the Lyapunov analysis is given to validate the results. Finally, the understudy islanded MG system is built in MATLAB/SimPowerSystems to verify the theoretical results. It is shown that the proposed secondary control strategies based on the adaptive protocols can highly increase the reliability and resiliency of the MG system compared with the existing distributed resilient methods.</description><identifier>ISSN: 1949-3053</identifier><identifier>EISSN: 1949-3061</identifier><identifier>DOI: 10.1109/TSG.2019.2960205</identifier><identifier>CODEN: ITSGBQ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Actuator faults ; Actuators ; Adaptive control ; Communication ; Communication networks ; Communications networks ; Compensators ; Control methods ; Decentralized control ; distributed control ; Distributed generation ; Electric potential ; Faults ; Frequency control ; Mathematical model ; microgrids ; Protocol (computers) ; Protocols ; Reliability ; Reliability engineering ; secondary control ; sensor faults ; Sensors ; Stability analysis ; Voltage ; Voltage control</subject><ispartof>IEEE transactions on smart grid, 2020-05, Vol.11 (3), p.2699-2708</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-ebafa62e37605603e11222fb83c5fab8024141ec1d562682ecc772ca70608ee53</citedby><cites>FETCH-LOGICAL-c291t-ebafa62e37605603e11222fb83c5fab8024141ec1d562682ecc772ca70608ee53</cites><orcidid>0000-0003-1493-1941</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8935105$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8935105$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Dehkordi, Nima Mahdian</creatorcontrib><creatorcontrib>Moussavi, Seyed Zeinolabedin</creatorcontrib><title>Distributed Resilient Adaptive Control of Islanded Microgrids Under Sensor/Actuator Faults</title><title>IEEE transactions on smart grid</title><addtitle>TSG</addtitle><description>To compensate for the voltage and frequency deviations caused by the droop control in islanded microgrids (MGs), employing an additional control level, called the secondary control, is necessary. Therefore, distributed control methods based on the sparse communication network, are recently employed in secondary control of MGs, because they are more reliable and flexible. However, traditional methods use the centralized communication network, which is neither economical nor efficient due to its large communication burden. Distributed control methods solve many challenges in the secondary layer of MGs, such as disturbances, uncertainties, unmodelled dynamics, noises, delays, attacks, and actuator faults. This paper proposes the novel resilient adaptive consensus-based voltage and frequency control protocols to compensate for the adverse effects of both sensor and actuator faults in communication network channels of islanded MGs. To this end, local adaptive sensor and actuator compensators eliminate the adverse effects of failures on sensors and actuators. The robust stability analysis based on the Lyapunov analysis is given to validate the results. Finally, the understudy islanded MG system is built in MATLAB/SimPowerSystems to verify the theoretical results. It is shown that the proposed secondary control strategies based on the adaptive protocols can highly increase the reliability and resiliency of the MG system compared with the existing distributed resilient methods.</description><subject>Actuator faults</subject><subject>Actuators</subject><subject>Adaptive control</subject><subject>Communication</subject><subject>Communication networks</subject><subject>Communications networks</subject><subject>Compensators</subject><subject>Control methods</subject><subject>Decentralized control</subject><subject>distributed control</subject><subject>Distributed generation</subject><subject>Electric potential</subject><subject>Faults</subject><subject>Frequency control</subject><subject>Mathematical model</subject><subject>microgrids</subject><subject>Protocol (computers)</subject><subject>Protocols</subject><subject>Reliability</subject><subject>Reliability engineering</subject><subject>secondary control</subject><subject>sensor faults</subject><subject>Sensors</subject><subject>Stability analysis</subject><subject>Voltage</subject><subject>Voltage control</subject><issn>1949-3053</issn><issn>1949-3061</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1LAzEQhoMoWGrvgpeA57b5aLKbY6m2FiqCbS9eQjY7KynrpiZZwX9vpKVzmWHmeWeGF6F7SiaUEjXdbVcTRqiaMCUJI-IKDaiaqTEnkl5fasFv0SjGA8nBOZdMDdDHk4spuKpPUON3iK510CU8r80xuR_AC9-l4FvsG7yOrenqjL06G_xncHXE-9wIeAtd9GE6t6k3yQe8NH2b4h26aUwbYXTOQ7RfPu8WL-PN22q9mG_GlimaxlCZxkgGvJBESMKBUsZYU5XcisZUJWEzOqNgaS0kkyUDa4uCWVMQSUoAwYfo8bT3GPx3DzHpg-9Dl09qxhUvSiFLmilyovLvMQZo9DG4LxN-NSX630SdTdT_JuqziVnycJI4ALjgpeKC5ukfUXxtMA</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Dehkordi, Nima Mahdian</creator><creator>Moussavi, Seyed Zeinolabedin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-1493-1941</orcidid></search><sort><creationdate>20200501</creationdate><title>Distributed Resilient Adaptive Control of Islanded Microgrids Under Sensor/Actuator Faults</title><author>Dehkordi, Nima Mahdian ; Moussavi, Seyed Zeinolabedin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-ebafa62e37605603e11222fb83c5fab8024141ec1d562682ecc772ca70608ee53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Actuator faults</topic><topic>Actuators</topic><topic>Adaptive control</topic><topic>Communication</topic><topic>Communication networks</topic><topic>Communications networks</topic><topic>Compensators</topic><topic>Control methods</topic><topic>Decentralized control</topic><topic>distributed control</topic><topic>Distributed generation</topic><topic>Electric potential</topic><topic>Faults</topic><topic>Frequency control</topic><topic>Mathematical model</topic><topic>microgrids</topic><topic>Protocol (computers)</topic><topic>Protocols</topic><topic>Reliability</topic><topic>Reliability engineering</topic><topic>secondary control</topic><topic>sensor faults</topic><topic>Sensors</topic><topic>Stability analysis</topic><topic>Voltage</topic><topic>Voltage control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dehkordi, Nima Mahdian</creatorcontrib><creatorcontrib>Moussavi, Seyed Zeinolabedin</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on smart grid</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dehkordi, Nima Mahdian</au><au>Moussavi, Seyed Zeinolabedin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distributed Resilient Adaptive Control of Islanded Microgrids Under Sensor/Actuator Faults</atitle><jtitle>IEEE transactions on smart grid</jtitle><stitle>TSG</stitle><date>2020-05-01</date><risdate>2020</risdate><volume>11</volume><issue>3</issue><spage>2699</spage><epage>2708</epage><pages>2699-2708</pages><issn>1949-3053</issn><eissn>1949-3061</eissn><coden>ITSGBQ</coden><abstract>To compensate for the voltage and frequency deviations caused by the droop control in islanded microgrids (MGs), employing an additional control level, called the secondary control, is necessary. Therefore, distributed control methods based on the sparse communication network, are recently employed in secondary control of MGs, because they are more reliable and flexible. However, traditional methods use the centralized communication network, which is neither economical nor efficient due to its large communication burden. Distributed control methods solve many challenges in the secondary layer of MGs, such as disturbances, uncertainties, unmodelled dynamics, noises, delays, attacks, and actuator faults. This paper proposes the novel resilient adaptive consensus-based voltage and frequency control protocols to compensate for the adverse effects of both sensor and actuator faults in communication network channels of islanded MGs. To this end, local adaptive sensor and actuator compensators eliminate the adverse effects of failures on sensors and actuators. The robust stability analysis based on the Lyapunov analysis is given to validate the results. Finally, the understudy islanded MG system is built in MATLAB/SimPowerSystems to verify the theoretical results. It is shown that the proposed secondary control strategies based on the adaptive protocols can highly increase the reliability and resiliency of the MG system compared with the existing distributed resilient methods.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TSG.2019.2960205</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-1493-1941</orcidid></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1949-3053 |
ispartof | IEEE transactions on smart grid, 2020-05, Vol.11 (3), p.2699-2708 |
issn | 1949-3053 1949-3061 |
language | eng |
recordid | cdi_proquest_journals_2393785681 |
source | IEEE Electronic Library (IEL) |
subjects | Actuator faults Actuators Adaptive control Communication Communication networks Communications networks Compensators Control methods Decentralized control distributed control Distributed generation Electric potential Faults Frequency control Mathematical model microgrids Protocol (computers) Protocols Reliability Reliability engineering secondary control sensor faults Sensors Stability analysis Voltage Voltage control |
title | Distributed Resilient Adaptive Control of Islanded Microgrids Under Sensor/Actuator Faults |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T14%3A10%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Distributed%20Resilient%20Adaptive%20Control%20of%20Islanded%20Microgrids%20Under%20Sensor/Actuator%20Faults&rft.jtitle=IEEE%20transactions%20on%20smart%20grid&rft.au=Dehkordi,%20Nima%20Mahdian&rft.date=2020-05-01&rft.volume=11&rft.issue=3&rft.spage=2699&rft.epage=2708&rft.pages=2699-2708&rft.issn=1949-3053&rft.eissn=1949-3061&rft.coden=ITSGBQ&rft_id=info:doi/10.1109/TSG.2019.2960205&rft_dat=%3Cproquest_RIE%3E2393785681%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2393785681&rft_id=info:pmid/&rft_ieee_id=8935105&rfr_iscdi=true |