Study on Generation Companies’ Bidding Strategy Based on Hybrid Intelligent Method
In the competitive electricity market environment, the bidding strategy of the generation companies(GenCos) is made based on the incomplete information. Thus, risk will be introduced inevitably. In this paper, a new risk evaluation method is presented considering fuzzy uncertainty of GenCos’ competitive bidding behaviors, the creditability of the real profit less than the fuzzy expected profit is taken as risk index. On this basis, the chance-constrained programming model of the GenCos’ optimal bidding strategy is presented. A hybrid intelligent algorithm of fuzzy simulation and neural network combined with GA is used to solve this problem. In the chanceconstrained programming model the object function and the chance-constrained formulas are uncertain functions, therefore the fuzzy simulation technique is used to obtain the function value and neural network is used to approach the uncertain function. In the end the feasibility of the model and solving method is tested by an IEEE-5 system case.
electricity market bidding strategy risk level electricity market chance-constrained program hybrid intelligent method
Huang Da-Wei Han Xue-Shan
Electrical Engineering Department Northeast Dianli University Jilin City, Jilin Province, People’s R School of Electrical Engineering Shandong University Jinan City, Shandong Province, People’s Republi
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-4
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）