混沌遗传算法在电力市场竞价策略中的应用

Bidding Strategy of Generation Companies Based on Chaos Genetic Algorithm

从发电公司角度,展开在电力市场环境下发电公司参与竞价机制的分析和研究,讨论了发电公司竞价机制及其报价策略,将投标竞价的原则引入电力市场,建立投标竞价数学模型。将混沌优化和遗传算法结合起来,提出将混沌遗传算法应用于电力市场的竞价策略。通过在种群进化的不同阶段引入混沌优化,能够更有效地求得全局最优解,具有更快的收敛速度。

For each generation company in electricity market, the bidding strategy is discussed in this paper. The principle of competitive bidding is involved in electricity market, and the mathematical model is set up. By combining chaos optimization and genetic algorithm, the Chaos Genetic Algorithm （CGA） is presented and applied in bidding strategy. The chaos optimization is introduced in different phase of population evolution, and it can get global optimum solution more efficiently and has higher convergence rate.