摘要
随着电动汽车(electric vehicle,EV)普及程度的不断提高,其充电负荷的时空分布随机特性给电力系统安全与经济运行带来了挑战。在此背景下,提出一种计及电动出租车行为时空随机特性的充电负荷分析方法。首先,针对乘客出行特性和2种充电运营模式即快速充电和换电模式,分析电动出租车的行为模式。接着,通过对城市交通路网进行网格划分,确定各交通小区的地理坐标信息。然后,基于网格化的交通路网,构建描述电动出租车行驶、目的地与路径选择、充/换电行为的数学模型并采用蒙特卡洛仿真实现。最后,以杭州市电动出租车的运行情况为例说明所提方法的基本特征,计算电动出租车的日充电负荷,比较2种充电运营模式对充电负荷时空随机分布特性的影响。
With the development of electric vehicles（ EVs）, the temporal and spatial stochastic distribution characteristics of EV charging are imposing challenges for power system secure and economic operation. Given this background,this paper proposes a systematical method for analyzing the charging load of electric taxis considering the temporal and the spatial stochastic distribution characteristics. First,driving patterns of electric taxis are discussed on account of typical passenger trip characteristics and the influences of two charging operation modes,i. e. fast charging and battery swapping. Then,the urban area of a given city is divided into several traffic zones by road map grid divisions,and the corresponding geographical coordinates are thus determined. Based on the grid-based traffic network,mathematical models for describing the driving,destination and path selection of electric taxis and charging /swapping behaviors are next presented,and the Monte Carlo simulation method is employed for attaining the solution. Finally,the operation scenarios of electric taxis in Hangzhou city are employed to demonstrate the essential features of the proposed method; specifically,the daily charging loads of electric taxis are investigated,and the impacts of two charging operation modes on the temporal and spatial distribution characteristics of electric taxi charging loads are compared.
作者
廖斌杰
杨俊
文福拴
李波
李梁
毛建伟
LIAO Binjie YANG Jun WEN Fushuan LI Bo LI Liang MAO Jianwei(College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China Department of Electrical ＆ Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei Division of Electric Vehicle Service, State Grid Zhejiang Electric Power Company, Hangzhou 310007, China)
出处
《电力建设》
北大核心
2017年第1期8-16,共9页
Electric Power Construction
基金
国家重点基础研究发展计划项目(973计划)(2013CB228202)
国家自然科学基金项目(51477151)
国网浙江省电力公司科技项目(5211DF150007)~~
关键词
电动汽车(EV)
电动出租车
充电运营模式
快速充电
换电
充电负荷
时空分布
交通小区
electric vehicle（EV）
electric taxi
charging operation mode
fast charging
battery swapping
charging load
temporal and spatial distribution
traffic zone
