Design Of Demand-side Energy Pricing Strategy For Smart Grid Based On Game Theory

With the continuous development of social economy,people's demand standard for power quality is also constantly improved.The traditional power grid has been difficult to meet the needs of social development,so the smart grid came into being.Smart grid can effectively solve the power crisis and many complex problems in the power grid,which has become the trend of the reform and development of the power industry.Demand-side response is a key technology in smart grid,which can encourage users to actively participate in the operation process of the power system and change its inherent energy consumption pattern,so as to make the resource allocation in the power grid more reasonable.Pricing strategy is one of the most basic and effective means of demand response.Through price incentive,the energy dispatching of power grid can be more reasonable,and the economy and reliability of power system operation can be improved.Based on the relevant knowledge of game theory,this paper mainly studies the design of energy pricing strategy in smart grid.The main research contents of this paper are as follows:Firstly,based on bargaining theory and non-cooperative game theory,the issue of pricing of electricity in the electricity market is studied..In the wholesale electricity market,multiple power companies jointly select an energy agent to negotiate with the power generation company on the wholesale price.The wholesale electricity price negotiation problem can be constructed into a Bargaining model.In this paper,Raiffa-Kalai-Smorodinsky Bargaining Solution(RBS)is adopted to achieve the optimal solution of the bargaining model.In the electricity retail market,the power companies decide the optimal retail price based on the obtained wholesale price,so as to optimize their own revenues.The retail price decision problem among power companies is constructed into a non-cooperative game model,and the Nash Equilibrium(NE)solution of the game model is obtained by a price iteration algorithm.Then,based on the stackelberger game and bayesian game theory,the pricing of various energy in the energy market is studied.In the energy market,the author considersthat gas company is energy provider,and energy hub can convert natural gas into electricity and heat and supply them to consumers.Through the relevant theory of bayesian game,a horizontal game model among energy users is established,which can maximize the benefit of energy users while protecting the privacy of energy consumption information.Through the relevant theory of the Starkelberg game,a vertical game model between energy users and energy hub company is constructed,which can optimize the benefit of energy hub company.Then a price regulation mechanism is designed to achieve the balance of energy supply and demand in the energy market.The distributed iterative algorithm is used to solve the multi-energy pricing model,and the optimal energy regulation price and the optimal retail price are obtained.