Optimal Scheduling Mechanism for EV Charging and Discharging with Multi-Price Scales and Comprehensive Demand

With the development of electric vehicle (EV) industry, EVs have also begun to be more integrated into the distribution network, and become an important part of the distribution network. However, the uncertainty of EV user behavior and load bring great challenges to the stable operation of distribution network. In order to solve the above problem, this paper proposes an optimal scheduling mechanism for EV charging and discharging with multi-price scales and comprehensive demand. The charging and discharging prices of EV are determined by different time-of-use price strategies based on different regions, and the uncertainty of load is reduced by comprehensive demand. What's more, three quantitative indicators of satisfaction with electricity cost, network loss and load peak-valley difference are proposed to evaluate the proposed method. Then, a simulated annealing PSO algorithm is used to solve the optimization problem. Finally, the simulation results based on an IEEE 33- node system show the effectiveness of the proposed methodology.