The Layout Optimization of Charging Stations for Electric Vehicles Based on the Chaos Particle Swarm Algorithm

Abstract

Electric vehicle is an important part of the smart grid, and the location selection and the constant volume of charging stations for electric vehicles have been the research hotspot in the field of electric vehicles. In order to reasonably determine the scale and layout of charging station for electric vehicles, a novel model of the location selection and the constant volume of charging stations for electric vehicles considering time-space distribution ,power losses and the cost of new lines is established by taking the investment cycle costs and user convenience as indexes. Under the constraint of the related conditions, the objective function is constituted of the initial investment by the new station, network loss costs, the new line costs and electricity costs, and the target is to minimize the investment and user costs .Then the layout of charging station is optimized by the improved chaotic particle swarm algorithm; then chaotic sequence was formed and the corresponding relationship of variable range was optimized through logical mapping function. Example analysis shows that the proposed method has better convergence properties than the particle swarm optimization (PSO) algorithm, which can offer a new way for the layout of the electric vehicle charging stations.