Ev electric vehicle charging load multi-objective stochastic programming method

The present invention provides a non-dominated Sorting Genetic Algorithm based on an EV charging load multiobjective stochastic programming methods, by combining the optimum distribution system operating requirements, considering the effect of a plurality of random factors, a new load-based EV charging multi-objective optimization model with random grid, using an improved non-dominated sorting genetic algorithm -Ⅱ (non-dominated? sorting? genetic? algorithm-2, NSGA-2) solving electric vehicle battery is fully charged, the battery charging power is not more limited distribution network and flow constraints as constraints to distribution network loss, peak load power supply node, the load fluctuation optimized sub-goals, in EV charging load multiobjective stochastic programming.