Research On The Game Problem In The Development Of Electric Vehicle V2G

In the context of the increasingly severe energy crisis and environmental problems,electric vehicles are gradually replacing fuel vehicles as a new,clean,efficient and intelligent means of transportation,and become the trend of social development in the future.When large-scale electric vehicles are connected to the power grid and the conventional electric load is superimposed,the load fluctuation of the power grid will increase,which may cause the problem of "peak on peak".Therefore,the vehicle-to-grid(V2G)technology of electric vehicles has been widely concerned.In the V2 G mode,the charging behavior of electric vehicles is analyzed and the load distribution of electric vehicles is optimized by electricity price incentive measures,which can not only reduce the adverse impact of electric vehicles charging load on the power grid,but also make use of the energy storage characteristics of electric vehicles to smooth the load fluctuation of the power grid and promote the consumption of renewable energy.V2G involves the interaction and interest game among multiple subjects such as the power grid,electric vehicle users,and electric vehicle aggregators.Based on the game theory method,this paper mainly studies the Stackelberg game problem between the power grid and electric vehicles and the bidding game problem of electric vehicle aggregators.The main work of this paper is as follows:First,the electric vehicle charging load is modeled based on various factors such as the behavior characteristics of electric vehicle users,the parameters of the power battery,and the development scale of the electric vehicle.Monte Carlo simulation is used to obtain the distribution of electric vehicle disordered charging load at different penetration rates,and the influence of electric vehicle disordered charging on the power grid is analyzed.Then,according to user preferences,electric vehicle owners are classified,and the multiobjective function of game participants is constructed based on the prospect theory,and the V2 G optimized Stackelberg game model is established where the power grid is the leader and electric vehicle users are followers.The MOPSO algorithm is used to solve the optimal pricing strategy of the power grid and the optimal response of electric vehicles,and the effect of user responsiveness on game equilibrium is studied.Finally,the discharge cost model of electric vehicle aggregator is established and the bidding function is established based on marginal cost.The market price clearing price and the winning power of the aggregator are calculated by the power company scheduling model.The PSO algorithm is used to solve the game equilibrium problem with bilevel programming.The influence of factors such as the number of electric vehicles,the discharge cost of the aggregator,and the discharge demand of the grid on the bidding strategy of the aggregator of the electric vehicle are studied.Reasonable Suggestions are put forward for setting the bidding coefficient interval of power grid.