A Bi-objective Optimization Study Based on Elite Selection for Electric Vehicle Charging

Abstract Electric vehicle charging increases the grid-side load, and safety economy of grid operation are affected. First, we consider influence climatic factors on EV simulate daily load profile under disorderly using Monte Carlo method. Then, elite selection is proposed in context traditional algorithms to establish a dual-objective optimization model with minimum peak-to-valley difference side total cost customer side. Finally, city used as an example verify that effective. The results show establishment time-of-use tariff for electricity market supply demand use bi-objective can reduce differences smooth out fluctuations, improving operation.