Research On Negotiation Strategy Of Discharging Price Of Electric Vehicle

In recent years,with the shortage of fossil resources,serious problem of environmental pollution and the increasing of people’s demand for means of transport,oil,natural gas and other resources are becoming scarcer.At this moment,the development of electric vehicles(EV)can better solve the problems above.Electric vehicle,as a mobile power,can not only be used as the load to absorb the electric energy from the system,but also transmit energy to the system at peak time.However,as a daily transport,the electric vehicle must firstly meet the daily travel requirements,and then they can participate in the power system if their owners agree,so a reasonable price mechanism to stimulate electric vehicle users to participate in system scheduling is particularly important.So the negotiation strategy of discharging price when the electric vehicle transmitting energy to the system at peak time is studied in this paper.Specifically as follows:The key factors of Vehicle-to-grid(V2G)were analyzed in this paper,On the one hand,from the perspective of Power Company,the optimal unit commitment model with the objective function of the minimum cost of power generation was established,the cost that Power Company called standby unit at peak time was calculated as the maximum value of the same capacity of EV that dispatched by Power Company,After calculating the difference between the cost of the unit commitment considering V2 G or not,the relationship between the maximum value of cost spend on EV which could be accepted by the Power Company and the power of the electric vehicle was obtained in this paper.On the other hand,from the perspective of EV users,based on the cost oriented pricing method,the minimum value of the price that electric vehicle user’s accepted to be scheduled by Power Company was calculated after taking into account the charging price,the battery loss and the lowest expected profitThe negotiation strategy between Power Company and EV agents when EV participated in the system at peak time was studied in this paper.The bilateral negotiation function model based on the fuzzy Bayesian learning was established and the forecasting model of negotiated discharging price was obtained in this paper.In the model,the parameters of the negotiation function were analyzed and classified.Then the method based on fuzzy probability for uncertain information estimation was proposed to calculate the uncertain parameters of Power Company and EV agents.Then,the parameters above were used to calculate the discharging price through the model.In order to avoid the estimation bias of uncertain parameters,the negotiation model based on Fuzzy Bayesian learning was established,thus the two sides of the negotiations can modify the uncertainty parameters to change the original negotiation curve trajectory through the model before next biding,and then the discharging price could be obtained.Finally,the result shows that the number of negotiations is reduced,and the bargaining price is closer to the theoretical equilibrium price point after Bayesian learning.Real time discharging price under the scheduling of electric vehicles was studied in this paper.Firstly,the running time of the electric vehicle was simulated by the method of Monte Carlo,and the SOC of the electric vehicle in each period was calculated.Then the scheduling model based on minimum Peak-valley was established.Moreover,according to the scheduling,the relationship between the power of the electric vehicle and the maximum value that Power Company can accept was obtained to calculate the upper limit.And the real-time discharging price was calculated.Finally,after economic analysis with the literature,the result shows that the real-time discharging price calculated in this paper could greatly improve the benefit of electric vehicle,which could promote the EV users to participate in the electric vehicle dispatching in the early stages of the promotion of V2 G.