If the behavior of large-scale electric vehicle connection to the power grid is not guided,it will easily lead to the phenomenon of"peak on the peak".Based on the basic attributes of electric vehicles and the basic assumptions of user ve-hicles,this paper studies the pricing strategy of electric vehicles.Monte Carlo method is used to simulate the grid load and user's electricity cost under different pricing strategies.Finally,the particle swarm optimization algorithm is used to de-termine the charge and discharge prices and peak and trough intervals.Properly determined pricing strategy facilitates a smoother grid load,and simultaneous rational economic profit of supplier and reduction of users'cost to a certain extent,achieving a win-win situation.
关键词
电价策略/蒙特卡洛模拟/粒子群算法
Key words
electricity pricing strategy/Monte Carlo simulation/particle swarm optimization
维普
万方数据