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Article: A Conjectural Variation Based Method To Develop Bidding Strategies For Generation Companies In Electricity Market

TitleA Conjectural Variation Based Method To Develop Bidding Strategies For Generation Companies In Electricity Market
構造發電公司投標策略的一種新方法: 微增響應猜測法初探
Authors
KeywordsElectricity markets (電力市場)
Bidding strategies (投標策略)
Conjectural variation (微增響應猜測)
Issue Date2003
PublisherPower System Technology Press (電網技術出版社). The Journal's web site is located at http://www.dwjs.com.cn/
Citation
Power System Technology, 2003, v. 27 n. 11, p. 34-37 How to Cite?
電網技術, 2003, v. 27 n. 11, p. 34-37 How to Cite?
AbstractAfter a brief description of fundamentals of the conjectural variation (CV) method, a novel CV-based method to develop optimal bidding strategies under incomplete information for generation companies participating in an electricity market are presented, with an objective of profit maximization. Through the theoretical analysis and the results of calculation examples it is shown that the classical game theory based bidding strategies is only a special case of the solution family of the presented method. By using the proposed method, different Nash equilibria of the electricity market could be attained corresponding to different CV sets assumed by generation companies. Conclusions obtained from theoretical analysis are well demonstrated by numerical simulation results. 介紹了微增響應猜測法(Conjectural Variation,CV)的基本概念,提出了基于這種方法構造發電公司在不完全信息情況下的最優投標策略。通過理論分析和算例計算,結果表明基于經典博弈理論構造的發電公司的最優投標策略是該方法的一種特例。采用該方法進行市場模擬時,對各發電公司不同的微增響應猜測進行組合,可以得到不同的市場均衡點,且均為Nash均衡點。
Persistent Identifierhttp://hdl.handle.net/10722/74069
ISSN
2015 SCImago Journal Rankings: 0.684

 

DC FieldValueLanguage
dc.contributor.authorSong, YQ-
dc.contributor.authorNi, YX-
dc.contributor.authorWen, FS-
dc.contributor.authorWu, FL-
dc.date.accessioned2010-09-06T06:57:30Z-
dc.date.available2010-09-06T06:57:30Z-
dc.date.issued2003-
dc.identifier.citationPower System Technology, 2003, v. 27 n. 11, p. 34-37-
dc.identifier.citation電網技術, 2003, v. 27 n. 11, p. 34-37-
dc.identifier.issn1000-3673-
dc.identifier.urihttp://hdl.handle.net/10722/74069-
dc.description.abstractAfter a brief description of fundamentals of the conjectural variation (CV) method, a novel CV-based method to develop optimal bidding strategies under incomplete information for generation companies participating in an electricity market are presented, with an objective of profit maximization. Through the theoretical analysis and the results of calculation examples it is shown that the classical game theory based bidding strategies is only a special case of the solution family of the presented method. By using the proposed method, different Nash equilibria of the electricity market could be attained corresponding to different CV sets assumed by generation companies. Conclusions obtained from theoretical analysis are well demonstrated by numerical simulation results. 介紹了微增響應猜測法(Conjectural Variation,CV)的基本概念,提出了基于這種方法構造發電公司在不完全信息情況下的最優投標策略。通過理論分析和算例計算,結果表明基于經典博弈理論構造的發電公司的最優投標策略是該方法的一種特例。采用該方法進行市場模擬時,對各發電公司不同的微增響應猜測進行組合,可以得到不同的市場均衡點,且均為Nash均衡點。-
dc.languagechi-
dc.publisherPower System Technology Press (電網技術出版社). The Journal's web site is located at http://www.dwjs.com.cn/-
dc.relation.ispartofPower System Technology-
dc.relation.ispartof電網技術-
dc.subjectElectricity markets (電力市場)-
dc.subjectBidding strategies (投標策略)-
dc.subjectConjectural variation (微增響應猜測)-
dc.titleA Conjectural Variation Based Method To Develop Bidding Strategies For Generation Companies In Electricity Market-
dc.title構造發電公司投標策略的一種新方法: 微增響應猜測法初探-
dc.typeArticle-
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1000-3673&volume=27&spage=34&epage=37&date=2003&atitle=A+Conjectural+Variation+Based+Method+To+Develop+Bidding+Strategies+For+Generation+Companies+In+Electricity+Marketen_HK
dc.identifier.emailNi, YX: yxni@eee.hku.hk-
dc.identifier.emailWen, FS: wenfs@hotmail.com-
dc.identifier.emailWu, FL: ffwu@eee.hku.hk-
dc.identifier.authorityNi, YX=rp00161-
dc.identifier.authorityWu, FL=rp00194-
dc.identifier.hkuros89836-
dc.identifier.volume27-
dc.identifier.issue11-
dc.identifier.spage34-
dc.identifier.epage37-
dc.publisher.placeBeijing (北京)-

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