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Article: Sensitivity Studies for Adaptive Coordinated Voltage Control: Scale and Similarity of Contingencies

TitleSensitivity Studies for Adaptive Coordinated Voltage Control: Scale and Similarity of Contingencies
Authors
KeywordsCoordinated voltage control
Multi-objective optimization
Non-dominated solution
Voltage instability
Issue Date2017
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, 2017, v. 32 n. 5, p. 3794-3802 How to Cite?
AbstractThe main framework of a new adaptive coordinated voltage control (ACVC) has been presented and published in our previous paper. ACVC is realized based on knowledge exploration from nondominated solution sets of multiobjective optimization. Knowledge is prepared and accumulated from offline training and online learning processes. This facilitates fast responses. An important basic work is to further study knowledge sensitivity to power system characteristics such that the efficiency of ACVC for various dynamics of power systems can be improved. A comparative study and discussion of power system scale, allocation of control devices, operational point variations, and severity of emergencies are presented in this paper. An improved form of knowledge is also proposed for ACVC based on these discussions. Numerical simulations on the IEEE 39-bus, 118-bus, and 300-bus power systems are performed for comparison and discussion.
Persistent Identifierhttp://hdl.handle.net/10722/264124
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.accessioned2018-10-22T07:49:57Z-
dc.date.available2018-10-22T07:49:57Z-
dc.date.issued2017-
dc.identifier.citationIEEE Transactions on Power Systems, 2017, v. 32 n. 5, p. 3794-3802-
dc.identifier.issn0885-8950-
dc.identifier.urihttp://hdl.handle.net/10722/264124-
dc.description.abstractThe main framework of a new adaptive coordinated voltage control (ACVC) has been presented and published in our previous paper. ACVC is realized based on knowledge exploration from nondominated solution sets of multiobjective optimization. Knowledge is prepared and accumulated from offline training and online learning processes. This facilitates fast responses. An important basic work is to further study knowledge sensitivity to power system characteristics such that the efficiency of ACVC for various dynamics of power systems can be improved. A comparative study and discussion of power system scale, allocation of control devices, operational point variations, and severity of emergencies are presented in this paper. An improved form of knowledge is also proposed for ACVC based on these discussions. Numerical simulations on the IEEE 39-bus, 118-bus, and 300-bus power systems are performed for comparison and discussion.-
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.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectCoordinated voltage control-
dc.subjectMulti-objective optimization-
dc.subjectNon-dominated solution-
dc.subjectVoltage instability-
dc.titleSensitivity Studies for Adaptive Coordinated Voltage Control: Scale and Similarity of Contingencies-
dc.typeArticle-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TPWRS.2017.2653226-
dc.identifier.scopuseid_2-s2.0-85028848840-
dc.identifier.hkuros293560-
dc.identifier.volume32-
dc.identifier.issue5-
dc.identifier.spage3794-
dc.identifier.epage3802-
dc.identifier.isiWOS:000407854900043-
dc.publisher.placeUnited States-
dc.identifier.issnl0885-8950-

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