电力系统自动化Issue(4)：50-58,9.DOI:10.7500/AEPS20150513014
考虑电动出租车随机概率行为特性的充电站规划
Charging Station Planning Considering Probability Behavior Characteristic of Electric Taxi
摘要
Abstract
The large scale operation of electric taxi needs the support of charging infrastructure.Take into account the time value to the taxi drivers and the consideration of convenience in finding passengers when they choose a charging station,a probability selection model based on utility function is given.Then the total social time cost in finding charging stations and passengers can be calculated.The minimum sum of total social time cost,investment of charging station and power losses is taken as the objective for the optimal planning of charging station location.The optimization configuration of charging stations is performed by utilizing the queuing theory M/G/c model.The whole planning model is solved by improved quantum genetic algorithm (IQGA).Finally,example analysis verifies the effectiveness and practicality of the planning method.关键词
电动出租车/电动汽车/充电站/优化规划/效用函数/量子遗传算法/排队理论Key words
electric taxi/electric vehicle/charging station/optimal planning/utility function/quantum genetic algorithm/queuing theory引用本文复制引用
葛少云,李荣,韩俊,刘洪,李腾,连恒辉..考虑电动出租车随机概率行为特性的充电站规划[J].电力系统自动化,2016,(4):50-58,9.基金项目
国家自然科学基金资助项目(51477116)。This work is supported by National Natural Science Foundation of China(No.51477116) （51477116）
