| With the increasing number of electric vehicles,electric vehicle charging station has become an important infrastructure of electric vehicle industry.In urban area,the investment and construction cost of charging and replacing power station is high.In order to obtain ideal economic benefits,it is very important to take measures to improve the optimal operation level of charging and replacing power station.With the continuous development of computer communication,system optimization control and other advanced technologies,the optimal operation of charging and replacing power station with economic and social benefits as the goal has a technical foundation.In this paper,the optimal operation strategy of charging and replacing power station is studied,which is of great significance to further improve the operation capacity of charging and exchanging power station and promote the benign development of electric vehicle industry.Firstly,this paper analyzes the load characteristics and profit situation of charging and exchanging power stations,and points out the existing problems.Based on the actual scene,a two-layer model is proposed,which is based on the energy optimization of vehicle network,double-layer energy optimization of station network and real-time rolling optimization.Taking the charging station as the lower layer,the optimization objective is to achieve the maximum charging revenue on the basis of meeting the charging demand;taking the distribution network as the upper layer,the optimization objective is to achieve the minimum load fluctuation of the distribution network in a dispatching day.The particle swarm optimization(PSO)algorithm is used to solve the model,and the calculation flow of rolling real-time optimization is proposed.The software and hardware foundation of the optimal operation of the charging and replacing power station is briefly described.Taking a charging and exchanging power station as an example,the calculation results of the lower level optimal operation of a single charging and exchanging power station based on revenue maximization are obtained,and the optimization effect is analyzed.The verification study shows that the lower level optimization model based on revenue maximization can significantly improve the charging revenue.Taking a distribution network with three charging stations as an example,the calculation results of multi station optimal operation with minimum load variance are obtained,and the optimization effect of multi stations is analyzed.It is shown that the minimum load fluctuation of distribution network can be realized on the basis of maximizing the profit of charging and exchanging power stations.The optimal operation strategy proposed in this paper can provide effective economic guarantee for the operation of charging and exchanging power stations.Based on the optimal operation strategy at the level of distribution network,it can realize the purpose of peak load shifting and valley filling of distribution network,and provide more friendly support for electric vehicles to access the distribution network.The research results of this paper can maximize the reasonable allocation of charging resources,further improve the charging efficiency,and provide a certain reference for the optimal operation of charging stations and peak load shifting of distribution network. |