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Article: Optimal reactive power planning of radial distribution systems with distributed generation

TitleOptimal reactive power planning of radial distribution systems with distributed generation
Authors
Chen, LZhong, JNi, YGan, DXiong, JXia, X
KeywordsDistributed generation
Monte-Carlo simulation
Optimal reactive power planning
Reactive power production cost
SVC
Wind power generation
Issue Date2006
Citation
Dianli Xitong Zidonghua/Automation Of Electric Power Systems, 2006, v. 30 n. 14, p. 20-24 How to Cite?
AbstractA method for optimal reactive power planning of radial distribution systems with distributed generation is proposed. The wind power generation units installed in distribution systems may cause reverse power flow and voltage variations due to the random-like output of wind power generation units. To conquer that disturbance, an optimal reactive power planning model is proposed to combine the reactive power support from SVC and distributed diesel units, and the optimal object is consist of power loss cost, SVC installation cost, reactive power production cost of diesel units. With the genetic algorithm as the optimization method and using Monte-Carlo simulation, the location and the output of SVC and distributed diesel units are determined. The proposed model is applied to a sample system.
Persistent Identifierhttp://hdl.handle.net/10722/155341
ISSN
1000-1026
2023 SCImago Journal Rankings: 1.171
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorChen, Len_HK
dc.contributor.authorZhong, Jen_HK
dc.contributor.authorNi, Yen_HK
dc.contributor.authorGan, Den_HK
dc.contributor.authorXiong, Jen_HK
dc.contributor.authorXia, Xen_HK
dc.date.accessioned2012-08-08T08:32:58Z-
dc.date.available2012-08-08T08:32:58Z-
dc.date.issued2006en_HK
dc.identifier.citationDianli Xitong Zidonghua/Automation Of Electric Power Systems, 2006, v. 30 n. 14, p. 20-24en_HK
dc.identifier.issn1000-1026en_HK
dc.identifier.urihttp://hdl.handle.net/10722/155341-
dc.description.abstractA method for optimal reactive power planning of radial distribution systems with distributed generation is proposed. The wind power generation units installed in distribution systems may cause reverse power flow and voltage variations due to the random-like output of wind power generation units. To conquer that disturbance, an optimal reactive power planning model is proposed to combine the reactive power support from SVC and distributed diesel units, and the optimal object is consist of power loss cost, SVC installation cost, reactive power production cost of diesel units. With the genetic algorithm as the optimization method and using Monte-Carlo simulation, the location and the output of SVC and distributed diesel units are determined. The proposed model is applied to a sample system.en_HK
dc.languageengen_US
dc.relation.ispartofDianli Xitong Zidonghua/Automation of Electric Power Systemsen_HK
dc.subjectDistributed generationen_HK
dc.subjectMonte-Carlo simulationen_HK
dc.subjectOptimal reactive power planningen_HK
dc.subjectReactive power production costen_HK
dc.subjectSVCen_HK
dc.subjectWind power generationen_HK
dc.titleOptimal reactive power planning of radial distribution systems with distributed generationen_HK
dc.typeArticleen_HK
dc.identifier.emailZhong, J: jinzhong@hkucc.hku.hken_HK
dc.identifier.emailNi, Y: yxni@eee.hku.hken_HK
dc.identifier.authorityZhong, J=rp00212en_HK
dc.identifier.authorityNi, Y=rp00161en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-33748702550en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33748702550&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume30en_HK
dc.identifier.issue14en_HK
dc.identifier.spage20en_HK
dc.identifier.epage24en_HK
dc.publisher.placeChinaen_HK
dc.identifier.scopusauthoridChen, L=7409440074en_HK
dc.identifier.scopusauthoridZhong, J=13905948700en_HK
dc.identifier.scopusauthoridNi, Y=7402910021en_HK
dc.identifier.scopusauthoridGan, D=7005499404en_HK
dc.identifier.scopusauthoridXiong, J=55230222900en_HK
dc.identifier.scopusauthoridXia, X=36651824300en_HK
dc.identifier.issnl1000-1026-

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