Genetic algorithm evolution of utility bidding strategies for the competitive marketplace

被引:119
作者
Richter, CW [1 ]
Sheble, GB [1 ]
机构
[1] Iowa State Univ, Ames, IA 50011 USA
关键词
competitive auction markets; optimization; genetic algorithms; bidding strategies; deregulation; energy broker; power systems; operations;
D O I
10.1109/59.651644
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper describes an environment in which distribution companies (discos) and generation companies (gencos), buy and sell power via double auctions implemented in a regional commodity exchange, The electric utilities' profits depend on the implementation of a successful bidding strategy. In this research, a genetic algorithm evolves bidding strategies as gencos and discos trade power. A framework in which bidding strategies may be tested and modified is presented. This simulated electric commodity exchange can be used off-line to predict whether bid strategies will be profitable and successful. It can also be used to experimentally verify how bidding behavior affects the competitive electric marketplace.
引用
收藏
页码:256 / 261
页数:6
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