基于遗传算法的电动汽车实时电价计算模型

ccording to the owners of electric cars are difficult to respond to real-time price, put forward a plan of real-time electricity pricing scheme, considering wind power and the owner's interactive intention. First, modeling the electric vehicle charging and discharging load; then, taking the wind power forecasting power and the owner's interaction intention into account, constructing the optimization model with the minimum power grid equivalent load variance as the goal, and use the genetic algorithm to solve optimization; On this basis, according to the difference of equivalent load of power grid before and after optimization, calculation of day-ahead electricity price; Finally, according to the error of wind power forecasting power, adjusting day-ahead price, forming the day real-time price. The example verified, the proposed real time pricing can more effectively guide the electric vehicle charging and discharging, to improve the load curve and access wind power at the same time, and analyzing the effects of different scenarios on electricity price.