Study On Bidding Strategy For Generators Based On PSO Method Under Incomplete Information

Recent years,China is in transition from traditional power grid to smart grid.The constantly advancing of organizational reform of electricity industry indicates the power industry will become more market-oriented.In this competitive environment,it is of great importance for generators to choose their bidding strategies wisely if one wants to optimize the profits.This paper conducts a review and summary on the development of power market and the research status of power bidding strategy with the help of existing literature,and the future trend of power bidding strategy is analyzed and prospected.In addition,the influence factors of electricity price in the background of electricity market are analyzed,and the power market transaction,bidding and clearing mode are also expounded.In power bidding action,the generators not only need to consider their own situation,but also need to take into account many other factors,such as rival strength and market demand,and Game theory provides a solution to bidding strategies in this exactly situation.Firstly,this paper conducts a study and analysis on the problem of bidding strategy for generators under complete information,and mathematical models of bidding strategy for generators are established,including cost function,bidding curve,clearing model and game model,and the game models of single period and bidding cycle are deduced.After comparing the advantages and disadvantages of genetic algorithm,simulated annealing algorithm and particle swarm algorithm,this paper chooses particle swarm algorithm(PSO)as the model solving algorithm based on the features of power bidding strategy model.To make it more suitable for solving the bidding strategy model,the traditional particle swarm optimization algorithm is improved.The optimization of the established bidding strategy model is accomplished with both PSO algorithm and Improved-PSO algorithm,and experimental results prove the effectiveness of the improved algorithm.Based on the research achievements under complete information,next,this paper conducts a study and analysis on the problem of bidding strategy for generators under incomplete information,by mathematical description of cost,the cost function under incomplete information is constructed,and mathematical models of bidding strategy for generators are also established.Based on the features of power bidding strategy model under incomplete information,this paper puts forward with the bidding strategy model with elimination mechanism.By introducing an elimination mechanism,the candidate space of the bidding coefficients is narrowed,which not only can reduce the risk of generators being knock out by the power market and bring more secure profits for generators,but also can improve the condition of PSO algorithm tending to fall into local optimums,and experimental results prove the effectiveness of the proposed bidding model.Based on the bidding strategy model under complete and incomplete information,this paper conducts a research on the bidding action of generators,and the influence of different bidding conditions on bidding action and strategy selection of generatos is analyzed.Then the paper also gives some suggestions to generators on how to optimize the profits.