Strategic Bidding Model for Power Generation Company Based on Repast Platform

The bidding strategies of power generations in the market are a dynamic and complex problem. It is difficult to analyze and computer with the traditional mathematical methods, which is conspicuous in the middle or long-term transactions. This paper proposes a model, it is the middle or long-term bidding strategy in two-tiers electricity market that is based on the optimal power flow (OPF) . Uncertainties in the outside world are regarded as the agent (Agent) of "external environment." Under this conditions, Agent through environment evaluation judges to select viable strategic. Through learning from experiences and opponent\´s behaviors, Agent guides the purpose of the best production. The adaptability and superiority of this model is tested based on repast with a standard IEEE-5 bus 6 notes test system.