Charging Station Integrated With Electric Vehicles Considering Traffic Flow And Network Loss

Electric vehicle is an important regulating tool for the sustainable development of global ecological environment,the transportation industry and the upgrading of automobile energy Internet in the 21 st century.In order to provide convenient and high-quality charging services for electric vehicles,reduce the negative impact of electric vehicles on the distribution system,and ensure the promotion of the entire industrial chain of electric vehicles,the planning and layout of charging stations as the energy supply infrastructure of electric vehicles has become a hot spot of many scholars at home and abroad,which has extremely important strategic significance and practical value in engineering.Considering that the electric vehicle charging station shares the attributes of traffic service facilities and public power facilities at the same time,this paper makes a deep study on the planning of location and capacity of charging station considering traffic flow and power loss.Firstly,this paper introduces the background and significance of this research,reviews the development status of electric vehicles and charging facilities,analyzes the research status of electric vehicles and summarizes the basic principles and application theories of current charging station planning.In addition,the planning of charging station considering the maximum traffic flow is studied.The transportation network of electric vehicles is abstracted as a rectangular environment according to graph theory,and an improved Dijkstra algorithm is proposed.According to the proposed algorithm,search paths,keep all the shortest paths of equal distance,introduce turning node identification method,and select the shortest path of turning time from multiple equal distance paths as the final planning path of electric vehicles.Search paths according to the proposed algorithm and keep all the shortest paths of equal distance.With turning node identification method introduced,the least time consuming path from multiple equal distance paths is selected as the final planning path of electric vehicles.On that basis,the traffic flow of each node is calculated,which provides in detail data support for the charging station planning.Finally,a multi-objective optimization model,aiming at the maximum service traffic flow of charging station and the minimum network loss of distribution network,is constructed,which is solved by multi-objective particle swarm optimization algorithm.In the optimization,two types of charging stations,namely slow charging station and fast charging station,and the constraints of the operation of distribution network and charging station operation is comprehensively taken into consideration.Taking IEEE-33 bus system and a typical traffic network with 25 traffic nodes as examples,the location and capacity of the two charging stations are respectively planned,and the influence of EV battery capacity on the service traffic flow of charging stations is further analyzed.The results show that the proposed algorithm can effectively search the travel path with both short driving distance and least driving time,and the construction of charging station at the transportation hub and the front end of the grid feeder can respectively increase the served traffic flow and reduce the grid loss.