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Conference Paper: Reactive power and voltage control in deregulated environment

TitleReactive power and voltage control in deregulated environment
Authors
Zhao, DNi, YZhong, JChen, S
KeywordsAncillary services
Genetic algorithm
Optimal power flow
Reactive power and voltage control
Reactive power costs
Issue Date2005
PublisherIEEE.
Citation
Proceedings Of The Ieee Power Engineering Society Transmission And Distribution Conference, 2005, v. 2005, p. 1-5 How to Cite?
DOI: http://dx.doi.org/10.1109/TDC.2005.1547190
AbstractReactive power support and Voltage control is a key type of ancillary services In the deregulated electrical power market. A review of some important issues of reactive power support, Including cost analysis, reactive power pricing, valuation, is presented in this paper. An Optimal Power Flow (OFF) is used based on real time pricing theory. Two object functions are modeled respectively: minimization of network loss and minimization of total cost to supply reactive power. A real-valued Genetic Algorithm (GA) Is also used to help searching the global optimum and verify the solutions. An IEEE 30-bus system is used for the studies. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45864
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorZhao, Den_HK
dc.contributor.authorNi, Yen_HK
dc.contributor.authorZhong, Jen_HK
dc.contributor.authorChen, Sen_HK
dc.date.accessioned2007-10-30T06:37:13Z-
dc.date.available2007-10-30T06:37:13Z-
dc.date.issued2005en_HK
dc.identifier.citationProceedings Of The Ieee Power Engineering Society Transmission And Distribution Conference, 2005, v. 2005, p. 1-5en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45864-
dc.description.abstractReactive power support and Voltage control is a key type of ancillary services In the deregulated electrical power market. A review of some important issues of reactive power support, Including cost analysis, reactive power pricing, valuation, is presented in this paper. An Optimal Power Flow (OFF) is used based on real time pricing theory. Two object functions are modeled respectively: minimization of network loss and minimization of total cost to supply reactive power. A real-valued Genetic Algorithm (GA) Is also used to help searching the global optimum and verify the solutions. An IEEE 30-bus system is used for the studies. © 2005 IEEE.en_HK
dc.format.extent263209 bytes-
dc.format.extent2759 bytes-
dc.format.extent11910 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofProceedings of the IEEE Power Engineering Society Transmission and Distribution Conferenceen_HK
dc.rights©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectAncillary servicesen_HK
dc.subjectGenetic algorithmen_HK
dc.subjectOptimal power flowen_HK
dc.subjectReactive power and voltage controlen_HK
dc.subjectReactive power costsen_HK
dc.titleReactive power and voltage control in deregulated environmenten_HK
dc.typeConference_Paperen_HK
dc.identifier.emailNi, Y: yxni@eee.hku.hken_HK
dc.identifier.emailZhong, J: jinzhong@hkucc.hku.hken_HK
dc.identifier.authorityNi, Y=rp00161en_HK
dc.identifier.authorityZhong, J=rp00212en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/TDC.2005.1547190en_HK
dc.identifier.scopuseid_2-s2.0-33746577352en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33746577352&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2005en_HK
dc.identifier.spage1en_HK
dc.identifier.epage5en_HK
dc.identifier.scopusauthoridZhao, D=7403489813en_HK
dc.identifier.scopusauthoridNi, Y=7402910021en_HK
dc.identifier.scopusauthoridZhong, J=13905948700en_HK
dc.identifier.scopusauthoridChen, S=7410255256en_HK

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