Capacity configuration optimization of optical storage charging station

With the increasing market share of electric vehicles and the progress of charging technology, the fluctuation of power system is aggravated. Aiming at the system cost, considering the characteristics of photovoltaic output, the uncertainty of electric vehicle charging and the electrical characteristics of energy storage, this paper adopts the population competition mechanism and local perturbation strategy, and adopts the Invasive Weed Optimization (IWO) algorithm to accelerate the convergence speed. Finally, through the example simulation, the global search and convergence stability of the algorithm are verified, and the balance between economy and photovoltaic consumption is realized.