基于粒子群算法的发电商非合作博弈行为分析

电力市场环境下，发电商竞价策略对自身获利有很大影响，为使自身获利最大化，须对竞价策略进行研究。利用博弈论方法对电力市场中电力总需求缺乏弹性时各发电商间非合作关系下竞价上网的报价行为进行了分析研究，并用粒子群算法(Particle Swarm Optimizer，PSO)求出了纳什均衡的近似解。该解可以指导发电商制定竞价上网的报价曲线，避免发电商盲目报价。本研究为考虑时间约束后纳什均衡解的求取提供了思路和方法。

Analysis of the Bidding Strategy of Power Producers with Non-cooperative Game Theory Based on PSO

In electric power market, the bidding strategy of power producer has very great influence on its profit and power producer should study the bidding strategy in order to maximize its own profit. The bidding strategies among power producers in electric power market were studied with non-cooperative game theory under inelastic electric power demands. According to the characteristics of the problem, based on PSO, the multi-objective programming model of the solution of Nash equilibrium was given, and the approximate result was obtained. The result can guide the power producers to constitute the bidding curves, which makes the producers not be blind to bid.