Modeling of electric vehicle charging load and its optimal control strategy

Electric vehicle charging behavior is random, a disorderly charging load access to network will impact the power grid planning and operation largely. Firstly, by the analysis of vehicles´ day trip chains, the normal and lognormal distribution are used to fitting the single trip´s ending time and driving distance, respectively. Then, the charging frequency are considered and the charging load is calculated by Monte Carol method, the impact of electric vehicles charging load under different penetration on the original power load will be analyzed subsequently. Followed by this section, the optimal control strategy based on AMPSO method is developed to solve the minimization of load variance problem. Finally, a residential is selected as an example, the results illustrate that electric vehicle charging disorderly will cause peak load, and the optimal control strategy will not only stabilize the load fluctuation and peak load shifting, but also meet the needs of electric vehicle users.