电测与仪表2017，Vol.54Issue(6)：11-16,6.
基于引入模拟退火思想的改进粒子群算法的电动汽车充电站最优规划
Optimal planning of electric vehicle charging station based on PSOSA algorithm
摘要
Abstract
With the rapid growth of electric vehicles in the future, large amount of charging stations need to be constructed.Reasonable layout of charging stations has important significance to the investors of charging stations and the clients.This paper introduces an optimal planning model of charging stations, which considers the traffic structure, traffic flow and the cost of customers.The weighted Voronoi diagram is used to divide the area which needs to be planned.We ameliorate the updating mechanism of inertia weight in improved PSO (particle swarm optimization) algorithm, and lead the concept of simulated annealing in it.By using weighted Voronoi diagram and PSOSA, the problem of optimal location and capacity of charging stations is solved.Finally, the example analysis verifies the practicality and effectiveness of the planning method and the algorithm.关键词
充电站/最优规划/车流信息/用户成本/加权Voronoi图/改进粒子群算法Key words
charging station/optimal planning/traffic flow/customer cost/weighted Voronoi diagram/improved particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
闫天泽,邱晓燕,刘延博,唐可,万成江..基于引入模拟退火思想的改进粒子群算法的电动汽车充电站最优规划[J].电测与仪表,2017,54(6):11-16,6.基金项目
四川省科技支撑项目:"主动配电网优化规划及协调运行关键技术研究"(2014JY0191) （2014JY0191）
