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Article: Adaptive Coordinated Voltage Control-Part II: Use of Learning for Rapid Response

TitleAdaptive Coordinated Voltage Control-Part II: Use of Learning for Rapid Response
Authors
KeywordsAdaptive control
Coordinated voltage control
Learning control
Model predictive control
Multi-objective optimization
Issue Date2014
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59
Citation
IEEE Transactions on Power Systems, 2014, v. 29 n. 4, p. 1554-1561 How to Cite?
AbstractThis is the second part of a two-part paper on a new adaptive coordinated voltage control (ACVC) strategy. The overall basic scheme and the online control for prepared faults have been presented in Part I. In this paper, learning control is explored to accumulate knowledge, so that the online control performances can be improved for unknown emergencies. For unknown situations where no past experiences can be exploited, a learning scheme is used by which the control knowledge can be acquired gradually. The learnt knowledge goes into the database and is improved the next time a related situation happens. After full knowledge is acquired, the unknown fault becomes a prepared fault with prepared knowledge. With the learning scheme, control for any emergency can be realized in a rapid and effective response. The learning process is demonstrated by providing control for an unknown emergency in the New England 39-bus power system. The ACVC performance for a sequence of randomly generated fault and load event emergencies is presented at the end of this paper.
Persistent Identifierhttp://hdl.handle.net/10722/217014
ISSN
2023 Impact Factor: 6.5
2023 SCImago Journal Rankings: 3.827
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMa, H-
dc.contributor.authorHill, DJ-
dc.date.accessioned2015-09-18T05:46:03Z-
dc.date.available2015-09-18T05:46:03Z-
dc.date.issued2014-
dc.identifier.citationIEEE Transactions on Power Systems, 2014, v. 29 n. 4, p. 1554-1561-
dc.identifier.issn0885-8950-
dc.identifier.urihttp://hdl.handle.net/10722/217014-
dc.description.abstractThis is the second part of a two-part paper on a new adaptive coordinated voltage control (ACVC) strategy. The overall basic scheme and the online control for prepared faults have been presented in Part I. In this paper, learning control is explored to accumulate knowledge, so that the online control performances can be improved for unknown emergencies. For unknown situations where no past experiences can be exploited, a learning scheme is used by which the control knowledge can be acquired gradually. The learnt knowledge goes into the database and is improved the next time a related situation happens. After full knowledge is acquired, the unknown fault becomes a prepared fault with prepared knowledge. With the learning scheme, control for any emergency can be realized in a rapid and effective response. The learning process is demonstrated by providing control for an unknown emergency in the New England 39-bus power system. The ACVC performance for a sequence of randomly generated fault and load event emergencies is presented at the end of this paper.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59-
dc.relation.ispartofIEEE Transactions on Power Systems-
dc.rightsIEEE Transactions on Power Systems. Copyright © Institute of Electrical and Electronics Engineers.-
dc.subjectAdaptive control-
dc.subjectCoordinated voltage control-
dc.subjectLearning control-
dc.subjectModel predictive control-
dc.subjectMulti-objective optimization-
dc.titleAdaptive Coordinated Voltage Control-Part II: Use of Learning for Rapid Response-
dc.typeArticle-
dc.identifier.emailMa, H: mahaomin@hku.hk-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TPWRS.2013.2293572-
dc.identifier.scopuseid_2-s2.0-84903119969-
dc.identifier.hkuros253894-
dc.identifier.hkuros253736-
dc.identifier.volume29-
dc.identifier.issue4-
dc.identifier.spage1554-
dc.identifier.epage1561-
dc.identifier.isiWOS:000338189600006-
dc.publisher.placeUnited States-
dc.identifier.issnl0885-8950-

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