私家电动汽车在商业停车场的充电调度策略.

With the popularization of PREV, the disorderly charging of large-scale PREV is likely to cause load peaks and affect the safety of the power grid. Therefore, aiming at this charging problem in commercial parking lot scenario, this paper proposed a vehicle admission mechanism to maximize the number of vehicles that could be fully charged within the predetermined time. It designed a charging scheduling of PREV for multi-objective optimization problem by using the genetic algorithm simulated annealing (GASA) based on the entropy weight method which determined the weights of the fitness function. This strategy comprehensively optimized the profits of parking lot operators and the charging satisfaction degree of PREV owners. The results show that the PREV charging scheduling based on GASA has good performance compared with the extreme case (disorderly charging with 600 vehicles). This method improves the profits, charging satisfaction degree and the value of objective function by 12.3%,109.7% and 35.2% respectively. In addition, it can effectively smooth the load distribution and achieve a win-win situation for parking lot operators and PREV owners under the premise of ensuring the safety of the power grid. [ABSTRACT FROM AUTHOR]