Study on Generation Companies' Bidding Strategy Based on Hybrid Intelligent Method

Abstract

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 chance constrained 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.