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Conference Paper: Reactive power planning and its cost allocation for distribution systems with distributed generation

TitleReactive power planning and its cost allocation for distribution systems with distributed generation
Authors
KeywordsCost allocation
Distributed generation
Monte-Carlo simulation
Optimal allocation
SVC
Issue Date2006
PublisherIEEE.
Citation
2006 Ieee Power Engineering Society General Meeting, Pes, 2006 How to Cite?
AbstractThis paper addresses some of the modeling and economic issues pertaining to the optimal reactive power planning of radial distribution systems with distributed generation. When wind power generation (WPG) units are installed in a distribution system, they may cause reverse power flows and voltage variations due to the random-like outputs of wind turbines. To solve this problem, we introduce Static Var Compensator (SVC) into distribution systems, and combine the reactive power support from distributed diesel units for voltage control. An optimal reactive power planning model is proposed in this paper. Monte-Carlo simulation is used to simulate the uncertainty of wind power generation. The locations and the outputs of SVCs and distributed diesel units are determined using our proposed optimal reactive power planning model. Genetic Algorithm (GA) is used to solve the optimization problem. Furthermore, we apply the Shapley Value Axiom in cooperative game theory to allocate the reactive power cost of SVC among wind power turbines, which have caused voltage variations. Finally, we discuss the allocation results from an economic point of view. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45900
References

 

DC FieldValueLanguage
dc.contributor.authorChen, Len_HK
dc.contributor.authorZhong, Jen_HK
dc.contributor.authorGan, Den_HK
dc.date.accessioned2007-10-30T06:38:05Z-
dc.date.available2007-10-30T06:38:05Z-
dc.date.issued2006en_HK
dc.identifier.citation2006 Ieee Power Engineering Society General Meeting, Pes, 2006en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45900-
dc.description.abstractThis paper addresses some of the modeling and economic issues pertaining to the optimal reactive power planning of radial distribution systems with distributed generation. When wind power generation (WPG) units are installed in a distribution system, they may cause reverse power flows and voltage variations due to the random-like outputs of wind turbines. To solve this problem, we introduce Static Var Compensator (SVC) into distribution systems, and combine the reactive power support from distributed diesel units for voltage control. An optimal reactive power planning model is proposed in this paper. Monte-Carlo simulation is used to simulate the uncertainty of wind power generation. The locations and the outputs of SVCs and distributed diesel units are determined using our proposed optimal reactive power planning model. Genetic Algorithm (GA) is used to solve the optimization problem. Furthermore, we apply the Shapley Value Axiom in cooperative game theory to allocate the reactive power cost of SVC among wind power turbines, which have caused voltage variations. Finally, we discuss the allocation results from an economic point of view. © 2006 IEEE.en_HK
dc.format.extent134411 bytes-
dc.format.extent1796 bytes-
dc.format.extent2759 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartof2006 IEEE Power Engineering Society General Meeting, PESen_HK
dc.rights©2006 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.subjectCost allocationen_HK
dc.subjectDistributed generationen_HK
dc.subjectMonte-Carlo simulationen_HK
dc.subjectOptimal allocationen_HK
dc.subjectSVCen_HK
dc.titleReactive power planning and its cost allocation for distribution systems with distributed generationen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailZhong, J:jinzhong@hkucc.hku.hken_HK
dc.identifier.authorityZhong, J=rp00212en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/PES.2006.1709370en_HK
dc.identifier.scopuseid_2-s2.0-35348882659en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-35348882659&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.scopusauthoridChen, L=7409440074en_HK
dc.identifier.scopusauthoridZhong, J=13905948700en_HK
dc.identifier.scopusauthoridGan, D=7005499404en_HK

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