Simulation Research On Bidding Transaction System Of Generation Market Based On MAS

With the development of the electricity market, the demand of bidding for the electricity market become higher and higher. The electricity market is increasingly becoming a complex adaptive system of multi-agent. As the market-oriented reforms of the electricity system often begins with the generation side, simulation research of electricity market bidding system on generation side will help researchers to find out defects of the market design and operation, providing a reference for the market rule makers.In this paper, firstly we studied the internal structure of the multi-agent system(MAS), analyzed the hierarchy of the power suppliers offer systems, given the power suppliers offer system based on the MAS technology and described the function and hierarchy of each agent and the mechanism of communication.Secondly, we studied the general structure of the electricity market and the market competition characteristics of the initial stage of China’s electricity market, analyzed the factors affected the generation bidding in electricity market environment and the electricity market clearing mechanism, improved the bidding mechanism of electricity on generation side.Thirdly, we designed fusion of the two clearing mechanism characteristics to the queuing method as the market clearing mechanism of power producers adaptive learning algorithm. Taking into account the fair market guidelines, we introduced the idea of evolutionary game theory and evolutionary equilibrium strategy and analyzed the relational algorithm.Finally, we studied the generation bidding strategies and generation bidding simulation based on MAS theory, designed and developed a power generation bidding system and made the simulation analysis.