Research On Electric Vehicle Charging And Discharging Electricity Price Formulation Strategy Based On Multi-objective Optimization

With the progress of society,"carbon peak,carbon neutral" has become the core of the national strategy,which has promoted the rapid development of clean energy represented by wind power and solar energy and electric vehicles.However,with the large-scale application of electric vehicles and distributed energy,unreasonable pricing strategies will not only affect electric vehicle users,power grids and charging station operators,but also adversely affect transportation and distributed energy utilization,and even hinder the development of electric vehicles.This paper studies the charge and discharge price of electric vehicles,and puts forward a strategy based on multi-objective optimization of charge and discharge price of electric vehicles,which can promote the benign development of electric vehicles and distributed energy.The research content of this article mainly has three parts:(1)The charging and discharging system of electric vehicle based on distributed generation is established and its operation mode is studied.In order to provide fast and convenient charging solutions for new energy owners,an intelligent platform with multi-task environment and multi-object communication is created to facilitate the end-to-end process from searching for charging stations to paying charging fees.At the same time,in order to improve user experience,software is developed based on Appmaker platform.(2)The charging and discharging price model of electric vehicle based on supply and demand curve is established.When the supply and demand curve is stable,the benefits of charging stations are maximized,and vice versa,the benefits of users are maximized.Then,an optimization model of TOU price of EV charging and discharging considering the idle rate of regional charging stations is proposed.Particle Swarm Optimization(PSO)was used to solve the model.The results of the calculation examples prove the validity and rationality of the proposed pricing strategy(3)In order to further optimize the selection of EV charging stations,a charging and discharging price model of EV in time-sharing stations with charging paths was established.Firstly,the main road structure in the region is analyzed and modeled by graph theory.Then,the EV charging stations with the shortest path are calculated and analyzed by using the improved Floyd algorithm considering the idle rate of each charging station.Finally,a multi-objective electricity price optimization model is formed with the goal of maximizing energy utilization,minimizing charging cost and maximizing satisfaction.Particle swarm optimization algorithm was used to solve the model.The example results prove that the proposed multi-objective electricity price optimization strategy can effectively improve the load distribution of EV charging stations and improve the utilization rate of renewable energy while taking into account the charging cost.