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Article: Adaptive Coordinated Voltage Control-Part I: Basic Scheme

TitleAdaptive Coordinated Voltage Control-Part I: Basic Scheme
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. 1546-1553 How to Cite?
AbstractBased on offline studies and past experiences, a novel adaptive coordinated voltage control (ACVC) strategy is proposed in this two-part paper. An efficient adaptive response is realized by searching in a limited solution space which is defined by the prepared system knowledge. The system knowledge is acquired from offline studies and then further accumulated from online experiences by learning. With the prepared control knowledge, the search solution space can be significantly reduced. Hence, the online search can quickly achieve a good system performance. In this first part of the paper, the offline study and online control for prepared faults are presented. For some anticipated faults, an offline search is applied to get knowledge for preparation. When an emergency happens, it is compared with the knowledge in the database. If full control information is found, a fast local search is applied within the solution space. Simulation results on the New England 39-bus power system show that this ACVC strategy is very efficient for real-time applications. The learning technique and online knowledge accumulation will be presented in Part II.
Persistent Identifierhttp://hdl.handle.net/10722/217013
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.accessioned2015-09-18T05:46:02Z-
dc.date.available2015-09-18T05:46:02Z-
dc.date.issued2014-
dc.identifier.citationIEEE Transactions on Power Systems, 2014, v. 29 n. 4, p. 1546-1553-
dc.identifier.issn0885-8950-
dc.identifier.urihttp://hdl.handle.net/10722/217013-
dc.description.abstractBased on offline studies and past experiences, a novel adaptive coordinated voltage control (ACVC) strategy is proposed in this two-part paper. An efficient adaptive response is realized by searching in a limited solution space which is defined by the prepared system knowledge. The system knowledge is acquired from offline studies and then further accumulated from online experiences by learning. With the prepared control knowledge, the search solution space can be significantly reduced. Hence, the online search can quickly achieve a good system performance. In this first part of the paper, the offline study and online control for prepared faults are presented. For some anticipated faults, an offline search is applied to get knowledge for preparation. When an emergency happens, it is compared with the knowledge in the database. If full control information is found, a fast local search is applied within the solution space. Simulation results on the New England 39-bus power system show that this ACVC strategy is very efficient for real-time applications. The learning technique and online knowledge accumulation will be presented in Part II.-
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 I: Basic Scheme-
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.2013.2293577-
dc.identifier.scopuseid_2-s2.0-84903170797-
dc.identifier.hkuros253892-
dc.identifier.hkuros253735-
dc.identifier.volume29-
dc.identifier.issue4-
dc.identifier.spage1546-
dc.identifier.epage1553-
dc.identifier.isiWOS:000338189600005-
dc.publisher.placeUnited States-
dc.identifier.issnl0885-8950-

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