Research On Bilateral Decision Making Of Large Consumers Direct Power Purchasing Based On Game Theory

In recent years,with the deep development of power system reformation,the fairness of competition in electricity market has been constantly improved.The direct transaction among generation companies and energy consumers become increasingly more important in the market,and its market behavior has attracted more researchers' attention.In the bilateral transaction formulated by direct negotiation between generation companies and large consumers,both sides focus on the maximization of utility function via optimizing its own strategy.However,the payoff of company and consumer are in conflict with each other and one side's strategy will influence the other's payoff,therefore there exists a game behavior between two sides.Based on the game theory,this dissertation focuses on the optimization problem for the purchased strategies of large consumers and the bidding strategies of generation companies considering the bilateral transaction among multiple generations and consumers.The main contents are as follows:(1)In the deregulated electricity market including various energy purchasing mode,the energy cost model of large consumer is built aimed at the purchased combination problem in the spot market,forward bilateral market,options market,and captive power plant.Then,by analyzing the purchased risk of large consumers which can be evaluated with entropy,the optimization model of purchased combination based on the expected utility-entropy model is founded considering energy cost and risk of large consumers.Finally,a case study is carried to verify the effectiveness of proposed method.(2)For the strategic optimization problem in the direct bilateral transaction among multiple generations and large consumers,Stackelberg game behavior is analyzed for the generations and consumers:generation companies can obtain more contracts via the competition of bidding price;large consumers optimize purchased strategies according to bidding price and forecasted spot price.Based on the above game behavior,Stackelberg game model is formulated with the complete information.Such model includes the non-cooperative game among generation companies in the upper layer and the cost optimization of large consumers in the lower layer.Then,the existence of Nash equilibrium for the proposed game is proofed.At last,a case study is carried to verify the game based approach with the proposed algorithm.(3)Considering the existence of private information of generation companies and large consumers in the electricity market,the strategic optimization problem for bidding price in the bilateral transaction between the generations and the large customer is analyzed with the incomplete information.Under the assumption that the cost function of a generation is the private information,Stackelberg game model with incomplete information is proposed.Then,co-evolutionary algorithm is employed to solve the problem of Bayesian game.Finally,a concrete case is simulated to verify the feasibility of the proposed approach.This paper can be regard as a reference for the problem of generation company contract pricing and large consumer purchasing strategy in the bilateral contract transaction.