基于新型蝙蝠算法的电动汽车停车充电优化调度

Optimal scheduling of electric vehicle parking and charging based on new bat algorithm

基于车位和充电桩协同共享建立了所有电动汽车停车充电费用最少调度模型。针对蝙蝠算法易陷入局部最优和过早收敛的问题,提出了一种局部搜索与全局搜索相结合的新型蝙蝠算法,该算法具有搜索速度快、寻优能力强的优点。使用新型蝙蝠算法优化所有电动汽车停车充电费用最小调度模型,通过仿真测试验证了新型蝙蝠算法求解电动汽车停车充电优化调度问题的有效性。

Based on the collaborative sharing of parking spaces and charging piles,a scheduling model with the least parking and charging costs for all electric vehicles is established.In the model,a new bat algorithm combining local search and global search is proposed to address the problem that the bat algorithm frequently falls into local optimization and premature convergence.This algorithm has the advantages of fast search speed and strong optimization ability.The new bat algorithm is used to optimize the minimum scheduling model of all electric vehicle parking and charging costs,and the effectiveness of the new bat algorithm for solving the optimal scheduling problem of electric vehicle parking and charging is verified through simulation tests.