Research On Competing Price Strategies Of Power Plants In Electricity Market

With the development of the reform of Chines power market, the competion has been introduced into generation market in order to reduce the cost of power generation and improve the efficiency of the operation of power market. In this context, it is very important to accurately predict the bidding strategies of competitors and the further development of power market to make the reasonable, rational and optimal strategy choice. The reaearch of the bidding behavior of firms in generation market can provide guideline to power suppliers for their rational and effcient market competion, on the other hand, can help the analyse of market behaviores for supervisors and offer reference to policies and standards making.By the reference of a lot of document literature, we review the reform process,analyse the characteristics and summarize the developing model and trading pattern of chinese power market. Then by introducing the bidding strategies of competitors, it can improve the important position of optimization algorithm in the analysis research. The paper also describes the basic principles of particle swarm optimization algorithm and its improved algorithms, and analysis its feasibility and advantages of the application in bidding strategies. By analysis the specific circumstances of bidding strategies, two new improved particle swarm optimization are given. Finally, based on the power generation companies bidding model, the two new improved particle swarm optimization algorithm are used to solve the bidding strategies and the results are analyzed to verify the feasibility and practicality of the paper’s work.