Article: An efficient frontier analysis for the GenCo multi-trading strategy: Part two algorithm design

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TitleAn efficient frontier analysis for the GenCo multi-trading strategy: Part two algorithm design
發電商多交易策略的有效前沿分析: (二)算法的實現
AuthorsFeng, D2 3
Gan, D2
Zhong, J1
Ni, Y1 3
KeywordsEfficient frontier
Electricity market
Generation company
Mathematical optimization
Multi-trading strategy
Risk management
Issue Date2007
PublisherNARI, State Power Company. The Journal's web site is located at http://www.aeps-info.com/aeps/ch/index.aspx
CitationDianli Xitong Zidonghua/Automation Of Electric Power Systems, 2007, v. 31 n. 14, p. 31-37, 42
電力系統自動化, 2007, v. 31 n. 14, p. 31-37, 42 [How to Cite?]
AbstractIn a deregulated environment, rationally diversifying the generation capacity in different trading types can help generation companies (GenCos) increase return and control risk. With regard to the difficulty in choosing a proper weight between risk and return in the research on the GenCo multi-trading strategy (GMTS), this paper develops a new computer-aided decision making tool based on the GMTS efficient frontier. The solution methodology of GMTS efficient frontier is thoroughly studied and a practical algorithm is designed. The validity and computation speed of the proposed algorithm is tested by a case study based on real world market data. Model analysis and simulation results both show that the proposed methodology has the advantages of applicability, reliability, flexible modeling and the convenience of controlling the computation time and precision.
DescriptionThe article can be viewed at http://aeps.sgepri.sgcc.com.cn/aeps/ch/reader/view_abstract.aspx?file_no=200703177&flag=1
ISSN1000-1026
2011 SCImago Journal Rankings: 0.046
ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorFeng, D
dc.contributor.authorGan, D
dc.contributor.authorZhong, J
dc.contributor.authorNi, Y
dc.date.accessioned2012-08-08T08:33:14Z
dc.date.available2012-08-08T08:33:14Z
dc.date.issued2007
dc.description.abstractIn a deregulated environment, rationally diversifying the generation capacity in different trading types can help generation companies (GenCos) increase return and control risk. With regard to the difficulty in choosing a proper weight between risk and return in the research on the GenCo multi-trading strategy (GMTS), this paper develops a new computer-aided decision making tool based on the GMTS efficient frontier. The solution methodology of GMTS efficient frontier is thoroughly studied and a practical algorithm is designed. The validity and computation speed of the proposed algorithm is tested by a case study based on real world market data. Model analysis and simulation results both show that the proposed methodology has the advantages of applicability, reliability, flexible modeling and the convenience of controlling the computation time and precision.
dc.description.natureLink_to_subscribed_fulltext
dc.descriptionThe article can be viewed at http://aeps.sgepri.sgcc.com.cn/aeps/ch/reader/view_abstract.aspx?file_no=200703177&flag=1
dc.identifier.citationDianli Xitong Zidonghua/Automation Of Electric Power Systems, 2007, v. 31 n. 14, p. 31-37, 42
dc.identifier.citation電力系統自動化, 2007, v. 31 n. 14, p. 31-37, 42 [How to Cite?]
dc.identifier.epage37 & 42
dc.identifier.hkuros134178
dc.identifier.issn1000-1026
2011 SCImago Journal Rankings: 0.046
dc.identifier.issue14
dc.identifier.scopuseid_2-s2.0-34547988987
dc.identifier.spage31
dc.identifier.urihttp://hdl.handle.net/10722/155386
dc.identifier.volume31
dc.languagechi
dc.publisherNARI, State Power Company. The Journal's web site is located at http://www.aeps-info.com/aeps/ch/index.aspx
dc.publisher.placeChina
dc.relation.ispartofDianli Xitong Zidonghua/Automation of Electric Power Systems
dc.relation.ispartof電力系統自動化
dc.relation.referencesReferences in Scopus
dc.subjectEfficient frontier
dc.subjectElectricity market
dc.subjectGeneration company
dc.subjectMathematical optimization
dc.subjectMulti-trading strategy
dc.subjectRisk management
dc.titleAn efficient frontier analysis for the GenCo multi-trading strategy: Part two algorithm design
dc.title發電商多交易策略的有效前沿分析: (二)算法的實現
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. Zhejiang University
  3. National Key Laboratory of Power Systems in Shenzhen