Research On Optimization Strategy Of Electric Vehicle Charging Load Based On Demand Side Pricing Response

With the increasingly serious environmental problems,electric vehicles are widely respected as a representative of low carbon environmental protection.The time-varying pricing mechanism in the demand side of the smart grid also provides opportunities for the interaction between the electric vehicles and the power system.In order to reduce the cost of charging,users can charge their cars at the appropriate time.Power suppliers can develop a more reasonable time-varying pricing mechanism to reap more revenue.Due to the large number of private vehicles,the charge characteristic is very complex and contains obvious randomicity.The impact of the charging load on the power grid can not be underestimated,so it is necessary to optimize the charging load form the private cars.Based on the existing theory nowadays,this paper makes the research work of the following aspects:1.It is very important to accurately describe the charging load of electric vehicles,which will make the cushion to study the influence of electric vehicle charging on distribution network and the optimization of charging load.In this paper,starting from the factors that affect the charging load,Monte Carlo sampling simulation method is used to establish the disordered charging load model of the electric vehicles.2.An optimization strategy of electric vehicle load under time-of-use electricity price is proposed in this paper.Firstly,the elasticity of demand-price is introduced based on the economic theory,which help to establish a response model of PHEV users to time-varying charging price.This paper presents the optimization results of electric vehicle charging load.On this basis,a binary integer programming optimization model with charge variable constraints is established with the minimum difference of peak-valley and peak of load as the objective function.And the IBM ILOG CPLEX optimization toolbox is applied to solve the model.The simulation results show that the proposed optimization strategy can achieve the effect of load optimization.3.By introducing the utility function in microeconomics,this paper gives the utility function and reference value of related parameter of PHEV users in the charging process.Taking into account the utility of PHEV users and the revenues of power suppliers,areal-time charging mechanism based on the maximization of the benefit of the charging system is proposed.The gradient projection method is used to solve the model.The user’s charging intention factor is introduced to reflect the user’s charging preference,and the interactive model between the users and the power grid is established.Finally,combined with the real time charging price and the user’s charging preference,the paper analyzes the influence of the factor of the charging intention on the load optimization,the charging cost of users and the profit of power supplier under different scenarios and gives the relevant operation suggestion.