Bidding strategies that minimize risk with options and futures contracts

被引:0
作者
Richter, CW [1 ]
Sheble, GB [1 ]
机构
[1] Iowa State Univ, Ames, IA 50011 USA
来源
PROCEEDINGS OF THE AMERICAN POWER CONFERENCE, VOL. 60, PTS I & II | 1998年
关键词
competitive auction markets; optimization; genetic algorithms; bidding strategies; deregulation; energy broker; power systems; options and futures contracts; risk management;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This research builds on earlier research in developing bidding strategies through the inclusion of options and futures contacts. In the competitive environment, electric traders' profits defend on the implementation of a successful bidding strategy. Bidding strategies are studied in an environment in which distribution companies (DISTCOs) and generation companies (GENCOs), buy and sell power via double auctions in regional commodity exchanges. The market framework being used was proposed by Kumar and Sheble [11] and allows participants to trade in the spot, future, planning and swap markets, and also gives rise to the use of option contracts. Bid-strategy research previously published by the authors focused on increasing electric generators' profit as they participated in a spot/cash market. Here we incorporate techniques such as game theory and decision analysis to minimize the risk to the electric utility or energy trader. The goal is to ensure reliable power system operation while also ensuring that contacts are fulfilled and traders adopting the strategies remain profitable. The developed strategies are tested in our electric market trading simulator which can be used off-line to predict whether bid strategies will be profitable and successful.
引用
收藏
页码:399 / 404
页数:6
相关论文
共 50 条
[31]   Optimal integrated generation bidding and scheduling with risk management under a deregulated daily power market [J].
Ni, EN ;
Luh, PB .
2002 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2002, :70-76
[32]   Congestion influence on bidding strategies in an electricity market [J].
Peng, TS ;
Tomsovic, K .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (03) :1054-1061
[33]   Bidding Strategies of Power Suppliers in Electricity Market [J].
Cheng, Yu ;
Yu, Zhisen .
2008 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION, VOLS 1 AND 2, 2009, :914-918
[34]   Bidding strategies analysis for procurement combinatorial auctions [J].
Chen, J ;
Huang, H .
SHAPING BUSINESS STRATEGY IN A NETWORKED WORLD, VOLS 1 AND 2, PROCEEDINGS, 2004, :41-45
[35]   Optimization based bidding strategies in the deregulated market [J].
Zhang, DY ;
Wang, YJ ;
Luh, PB .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2000, 15 (03) :981-986
[36]   Bidding strategies for Indian restructured power market [J].
Prabavathi, M. ;
Gnanadass, R. .
Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2013, 2013, :568-573
[37]   Bidding Strategies for Indian Restructured Power Market [J].
Prabavathi, M. ;
Gnanadass, R. .
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013), 2013, :568-573
[38]   Bidding strategies for multi-object auctions [J].
Fatima, Shaheen S. .
NEGOTIATION, AUCTIONS, AND MARKET ENGINEERING, 2008, 2 :200-212
[39]   A conceptual research on bidding strategies in electricity markets with step-wise bidding protocol [J].
Wen, FS ;
Ma, L .
ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS, 2004, 12 (04) :199-203
[40]   Optimization based bidding strategies in the deregulated market [J].
Zhang, DY ;
Wang, YJ ;
Luh, PB .
PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON POWER INDUSTRY COMPUTER APPLICATIONS, 1999, :63-69