An Improved Particle Swarm Optimization-Based Load Response Strategy With Participation of Vehicle to Grid

Along with application and dissemination of electric vehicles and the construction of charging stations,as a movable and distributed energy storage unit of power grid special attentions are paid to the electric vehicle.A mathematical model,in which the electric vehicle participates load response of power grid,is built.Considering the constraints such as charging and discharging power of the electric vehicle and its available capacity,the proposed mathematical model is solved by particle swarm optimization(PSO) algorithm.In view of the defect of traditional PSO algorithm that it converges prematurely and locally while it is used to deal with high-dimensional problems,an improved PSO algorithm based on sub-vector is put forward;to ensure the ergodic search in the space to be searched,the space is divided into several small low-dimensional spaces to avoid the premature convergence of the algorithm.Finally,the feasibility of reasonably arranging the load response with participation of vehicle to grid(V2G) is verified by calculation example;meanwhile the performance contrast between traditional PSO algorithm and improved PSO algorithm,it is proved that the latter is more effective for dealing with high-dimensional problems.