Research On Vehicle To Grid Game Considering User Travel Demand

The number of electric vehicles(EVs)has increased year by year,and the on-board batteries of large-scale electric vehicles have become important energy storage components for smart grids.Vehicle to Grid(V2G)can realize the optimal adjustment of the operating state of the power grid through the energy transfer between electric vehicles and the power grid.But unlike ordinary energy storage components,as a means of transportation,electric vehicles need to give priority to users’ own travel needs when interacting with the power grid.Therefore,when analyzing the interaction strategy between electric vehicles and the power grid,it is necessary to consider the travel rules of electric vehicle users,and use this as a constraint condition for electric vehicles to participate in the vehicle to grid.At the same time,constructing a reasonable multi-electric vehicle agent competition model and seeking coordinated multielectric vehicle agent scheduling control strategies are of great significance to both the power grid and electric vehicles.In addition to conflicts of interest between electric vehicles and power grid,the travel needs of electric vehicle users must also be taken into account.According to the characteristics of private car commuting time,the operation modes of electric vehicles are classified.At the same time,considering the constraints such as travel time,driving power consumption,charge and discharge power,etc.,an operating constraint model for electric vehicle energy storage batteries was constructed,and multiple constraints were converted into a single constraint.This constraint can ensure that the charging and discharging decisions do not affect the user’s normal driving plan,and can also limit the excessive charging and discharging of electric vehicles.Drawing on the concept of directed graphs in graph theory to describe the topological relationship of points in the electric vehicle battery constraint range,a directed graph in the electric vehicle battery constraint model is constructed,which provides a game model for vehicle-network interaction in subsequent work basis.Established a master-slave game model for electric vehicles and power grids.The grid company’s upper-level decision-maker in the main-slave game determines the time-of-use electricity price with the minimum total load variance and the largest economic return as the comprehensive goal.On the premise of travel demand,respond to the time-of-use electricity price of the power grid,and obtain the charging and discharging control strategy of electric vehicles at the corresponding electricity price.Transform the master-slave game model into an objective optimization problem,and use genetic algorithm and YALMIP / CPLEX solver.Finally,Monte Carlo simulation is used to generate user travel data and basic parameters of electric vehicles in an area,and the optimal time-of-day electricity price in the area is analyzed.The simulation results verify that the method in this paper can simultaneously obtain both sides of the car network under specific conditions.The interactive strategy has a good effect in improving the load fluctuation of the power grid,and can provide guidance for the formulation of interactive strategies between the vehicle and the grid.Aiming at the interaction between the grid,electric vehicle aggregator,and electric vehicle users,this paper designs a multi-layer game model of electric vehicle aggregator participating in demand response.The dispatch center,electric vehicle agent,and electric vehicle Participate in the game in three modes: master-slave,evolution,and non-cooperative.Electric vehicle dealers integrate and guide distributed electric vehicle energy storage resources to provide demand response resources for dispatch centers.The master-slave game model between electric vehicle aggregator and the electric vehicles they manage,adopting a price response method to solve the load regulation problem of electric vehicle aggregator on largescale electric vehicles;non-cooperative game models are used to describe the competition behavior among them,build the demand-side charge-discharge bidding model with multiple electric vehicle aggregator participating.A multi-participant,multi-decision variable,and multi-layered structured vehicle to grid game model was established to resolve the conflict of interest between the subjects.The analysis of a numerical example shows that the method can effectively coordinate the interaction benefits between the power grid,electric vehicle aggregator,and electric vehicles,and reduce dispatching costs.