Research On Electric Vehicle Charging And Discharging Strategy Considering Peak Shaving Demand And Distributed Power Consumption

The severe environmental pollution and the reduction of fossil energy are accelerating the development of new energy vehicles,and the charging behavior of electric vehicles is highly uncertain in time and space.Its irregular charging brings serious tests to the traditional distribution network A series of problems,such as increased load levels,decreased power quality,and increased network losses.V2 G technology is an integrated and comprehensive application that combines power electronics,communication,and metering technologies to achieve bidirectional power transmission.Under the V2 G mode,based on the analysis of the charging behavior of multiple electric vehicles,multiple types of electric vehicles are combined to optimize the charge and discharge through electricity price incentives to tap their potential for peak shaving.At the same time,considering the impact of distributed output on peak shaving of electric vehicles,Therefore,an electric vehicle charging and discharging strategy considering peak shaving demand and distributed power dissipation is proposed.The specific work is as follows:1)Taking private cars,taxis,buses and official cars as the research objects,Monte Carlo simulation method is applied to probability sampling simulation to obtain the charging power curves of various types of electric vehicles,and the influence of different types of vehicles on the load characteristics of power grid is analyzed.From the simulation results,it can be seen that without any control measures,private cars and taxis have obvious problems of "peak to peak" load,but there are differences in the peak period,while buses and official cars have no obvious impact on the peak to valley load difference.2)In view of the problem that the load caused by private cars and taxis "peak on peak" and the traditional charge and discharge strategy only focus on a single type of vehicle,which results in the limitation of the role of power grid peak regulation(to reduce the difference between peak and valley),this paper proposes an optimized charge and discharge strategy for deepening the combination of private cars and taxis.Based on the difference of owners’ wishes,the response characteristics of owners to charging price difference and discharging price are determined.The electric vehicles are divided into three types: disordered charging(V0G),orderly charging control(V1G)and orderly discharging control(V2G),and the number of three types of electric vehicles is calculated.Then,taking the minimum peak valley difference and load variance as the optimization objective,the decision-making is made to solve each type of electric vehicles Start and end time of charge and discharge.The simulation results show that the proposed charging and discharging strategy can better motivate all types of electric vehicles to actively participate in peak load regulation,and further reduce the peak valley difference of load.3)Considering that distributed generation may weaken the effect of peak load regulation of electric vehicles,a microgrid optimal scheduling method considering the consumption of distributed power and peak load regulation of electric vehicles is proposed.This method can be divided into demand side dispatching and power supply side dispatching.The demand side dispatching level establishes the electricity price model considering the fluctuation of distributed generation and conventional load by analyzing the influence of the output of distributed generation on the load characteristics of microgrid,so as to guide the electric vehicle to maximize the consumption of new energy and minimize the peak valley difference of load;the power supply side dispatching level passes through diesel engine,energy storage device and main network interconnection line In order to ensure the power balance in microgrid,particle swarm optimization(PSO)algorithm is used to solve the power of energy storage device and interconnection line of main network with the objective of minimizing the comprehensive cost of power supply side and the power fluctuation of interconnection line.In the case study,it is shown that the proposed method can meet the demand of peak load regulation and promote the consumption of distributed power,and reduce the operation cost of microgrid power supply side and the adverse impact of microgrid on the main network.