Operation optimization of electric vehicle based on demand side management

Abstract

Under the background of energy restriction and environmental pollution, new energy electric vehicles have developed rapidly with their advantages of environmental protection. To realize the benign interaction between electric vehicle charging and switching power stations and power grid, the demand side management of electric vehicle charging and switching power stations is adopted, and the random sampling method of Monte Carlo is used to collect the battery charged state of batteries in one day. Considering the constraints of charging and discharging times of charging stations, the operation model of charging and switching stations for electric vehicles is established, and the orderly charging and discharging of electric vehicles is realized by interior point optimization method. The simulation results show that the optimized charging mode can effectively reduce the peak-valley difference of the system load and improve the stability of the system compared with the stochastic charging mode of electric vehicles.