关键词: 电力市场, 竞价, 复杂适应系统, 主体, 仿真

Abstract: As incomplete information and monopolistic electric market，power generation companies sell electric power to grid by bidding price.It is quite important for them to get maximum income by taking the optimal bidding strategy.In this paper，these companies’ bidding behavior is modeled and simulated on Repast platform with an idea of multi-agent which combines both theories of game and complex adaptive system.Self-learning ability and alternating behavior of the population of power generation companies are both taken into account.The abilities that each agent can accumulate experience gained during competition bidding and can modify its predict function at every bidding are simulated so as to get the maximal payoff.The simulation results show the presented method is effective.

Key words: electric market, bidding, Complex Adaptive System（CAS）, agent, simulation