Optimization of peak-valley TOU power price time-period in ordered charging mode of electric vehicle

Abstract

This paper presents an optimized model for TOU power price time-period considering how to use ordered charging of electric vehicles (EV) to cut the peak and fill the valley of electricity power grid. First, a response model of charging time is presented, then the typical day load curve of EV ordered charging is obtained by Monte Carlo simulation, which is attached to the original load curve to form the real load of power grid. Based on this, an optimization model is built with the purpose of minimizing the peak-valley ratio. A genetic algorithm is used to solve this problem to get the best time-period for load shifting. The results of example show the rationality of this model and method.