电力系统及其自动化学报2017，Vol.29Issue(3)：12-19,8.DOI:10.3969/j.issn.1003-8930.2017.03.003
基于马尔可夫链的电动汽车充电需求计算
Calculation of Charging Demand from Electric Vehicles Based on Markov Chain
摘要
Abstract
Considering the complexity and diversity of the users' travel habits,Markov chain is used to describe the changes in the state of charge (SOC) of power battery during the electric vehicle users' travel in a whole day.The realtime charging behavior is simulated,and then according to the probability of travel time corresponding to different destinations,the regional distribution of electric vehicles during different periods of a day is determined.By taking into account the influence of traffic time consumption coefficient on the driving process,the regional charging demand on different types of day is also predicted.The charging load of electric vehicles with different permeabilities,different types of day and different charging thresholds is calculated by Monte Carlo simulation method,and the results show that the proposed method can simulate the users' travel habits accurately and reflect the space-time distribution characteristics of charging demand.Moreover,it is indicated that the traffic situation and the charging threshold of battery have certain effect on the charging demand from electric vehicles.关键词
电动汽车/马尔科夫链/交通耗时系数/充电阈值Key words
electric vehicle/Markov chain/traffic time consumption coefficient/charging threshold分类
信息技术与安全科学引用本文复制引用
许威,吕林,许立雄,向月..基于马尔可夫链的电动汽车充电需求计算[J].电力系统及其自动化学报,2017,29(3):12-19,8.基金项目
国家自然科学基金资助项目(51377111) （51377111）
四川省科技厅应用基础项目(2015JY0128) （2015JY0128）
四川大学引进人才科研启动项目(1082204112089) （1082204112089）
