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The bidding strategies based on energy-saving generation dispatching pattern are dynamic and complex problems. It is very difficult to analyze and compute with the traditional mathematical methods, which is particularly conspicuous in the middle-or long-term transactions. This paper proposes a model about the optimized middle or long-term bidding strategy in two-tiers electricity market, which is based on the optimal power flow (OPF). In this model, uncertainties in the outside world are regarded as the agent (Agent) of "external environment". Under the condition, the agent selects a viable strategy by environment evaluating and guides the purpose of the optimal production by learning from past experiences and competitors' behaviors. The adaptability and superiority of this model are tested on a standard IEEE-5 bus 6 notes test system.