电力系统及其自动化学报2018，Vol.30Issue(6)：1-9,52,10.DOI:10.3969/j.issn.1003-8930.2018.06.001
考虑驾驶人出行链的电动汽车充电站规划
Planning for Charging Stations of Electric Vehicles Considering Drivers'Trip Chains
摘要
Abstract
Based on travel chains and Dijkstra's shortest-path algorithm,a locating and sizing model for charging sta?tions is proposed considering drivers'trip chains. Through the generation of various trip chains,the changing character?istics of vehicle numbers in different time intervals and different areas(i.e.,residential,industrial,and business)are analyzed. The travelling and charging behaviors of electric vehicles in different temporal and spatial distributions are simulated using Monte Carlo sampling technique. A fuzzy bi-objective optimization approach that considers the objec?tive priority is presented with the grid revenue and the average travel distance of charging users as objective functions. To solve this model,particle swarm optimization algorithm is used. Finally,the analysis of a numerical example verifies the feasibility and rationality of the proposed model.关键词
电动汽车/选址定容/蒙特卡洛/出行链/最优路径/粒子群优化算法Key words
electric vehicle/locating and sizing/Monte Carlo/trip chain/optimal path/particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
王冬,刘继春,曹芷健,牛毅,唐虎,刘俊勇..考虑驾驶人出行链的电动汽车充电站规划[J].电力系统及其自动化学报,2018,30(6):1-9,52,10.基金项目
国家自然科学基金资助项目(51377111) （51377111）
