Abstract:

Aiming at the problem of power grid power fluctuation and renewable energy uncertainty caused by large-scale disordered charging of electric vehicles,an energy management model for orderly charging of electric vehicles under reservation mechanism was proposed.Based on the predicted value of renewable energy output,the dynamic charging price is formulated to guide the orderly charging of electric vehicles.The model is solved by the improved genetic algorithm.The pareto non-dominated quick sequencing method is used for multi-objective optimization problem,and a new parent generation is generated according to the elite retention strategy combined with population crowding degree,which can quickly converge and avoid falling into local optimum.Through the simulation of a park wind storage charging station,the feasibility and effectiveness of the proposed model and algorithm are verified.The charging cost is reduced while the peak valley difference is reduced,and the consumption of renewable energy is improved.The energy management effect is remarkable.

Key words: orderly charging, energy management, dynamic optimization, user’s satisfaction, non-dominated sorting