Research On Distribution Network Optimization Considering Electric Vehicle Charging And Reactive Power Compensation

As the country pays more attention to new energy technologies,new technologies represented by electric vehicles have attracted more and more attention from scholars.In the future,the large-scale disorderly access of electric vehicles will bring challenges to the safety and stability of the power grid,but reasonable guidance for the orderly charging of electric vehicles can not only meet the needs of vehicle owners,but also reduce the difference between the peak and valley of the power grid.Improve the stability of the power grid.As a flexible and flexible load,electric vehicles provide a new method for reducing user charging costs and enhancing grid stability.Therefore,it is very important to reasonably control the charging strategy of electric vehicles.The main contents of this article are as follows:First,using statistical methods,the data is fitted to the electric vehicle owner's starting charging time,charging duration,and daily driving mileage of the electric vehicle approximately obeying a normal distribution,using the Monte Carlo method to simulate the daily load curve of the electric vehicle,and the electric Cars are merged into the local distribution network.The simulation results show that a large number of electric vehicles will cause disordered charging,which will increase the peak-to-valley difference of the power grid and reduce the stability of the power grid.Then,using the time-of-use electricity price mechanism,an orderly charging control strategy for electric vehicles with the minimum charging cost of the owner as the goal is established.The genetic algorithm solves the orderly charging strategy to reduce the charging demand of electric vehicles during the peak charging period.Then,a model for optimizing the time-sharing electricity price period and electricity price was designed,and the peak-valley electricity price time period was re-divided using the membership function.An orderly charging model for electric vehicles using a price elasticity matrix was proposed.Reduce the charging costs of car owners,and better reduce the peak-to-valley difference of the power grid.Finally,in order to make electric vehicles more rationally integrated into the distribution network,based on the mechanism of time-sharing electricity prices,this paper proposes a model of coordinated control between electric vehicles,wind power,reactive power compensation devices,and power grids.Taking the charging power of each period of electric vehicles and the number of switching capacitors as the optimization variables,a one-stage optimization model with the lowest charging cost of the owner is established,and the minimum charging cost of the owner is not less than the first stage as a constraint,and the peak of the power grid is established.The second-stage optimization model with the smallest valley difference is solved by an improved multi-group genetic optimization algorithm.Finally,an example analysis is carried out in the node system,and it is concluded that the ordered charging and reactive power compensation scenarios can reduce the peak-to-valley difference of the power grid more than other scenarios,further reduce network losses,and enhance voltage stability.