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基于分区需求系数的电动汽车充电设施规划
引用本文:杨俊,廖斌杰,王小蕾,文福拴,张西竹,王蕾.基于分区需求系数的电动汽车充电设施规划[J].电力建设,2015,36(7):52-60.
作者姓名:杨俊  廖斌杰  王小蕾  文福拴  张西竹  王蕾
作者单位:1. 浙江大学电气工程学院, 杭州市 310027; 2. 文莱科技大学电机与电子工程系, 文莱斯里巴加湾 BE1410;3. 国网浙江省电力公司经济技术研究院, 杭州市 310008
基金项目:国家重点基础研究发展规划项目 (973计划) 资助 (2013CB228202); 国家自然科学基金委员会项目资助 (51477151, 51361130152)。
摘    要:电动汽车充电设施的合理规划对于电动汽车的推广具有重要作用。为此, 提出了一种基于分区充电需求系数的电动汽车充电设施选址定容方法。首先基于对各类电动汽车充电模式分析, 提出了电动汽车负荷预测模型。接着由各类电动汽车的日能量需求及日最大接入数量, 计算出各类电动汽车充电设施的需求数量。之后, 对所需研究的规划区域进行区块划分, 确定各区块的充电需求系数, 并选出充电需求较高的区块, 再根据所得到的候选布点区块及充电桩总数来确定每个区块的充电桩数量。最后, 以杭州市充电设施规划为例来说明所提方法的基本特征。

关 键 词:电动汽车  充电设施  区块  充电需求系数  选址定容  

Planning of Charging Facilities of Electric Vehicles Based on Geographical Zonal Charging Demand Coefficients
YANG Jun,LIAO Binjie,WANG Xiaolei,WEN Fushuan,ZHANG Xizhu,WANG Lei.Planning of Charging Facilities of Electric Vehicles Based on Geographical Zonal Charging Demand Coefficients[J].Electric Power Construction,2015,36(7):52-60.
Authors:YANG Jun  LIAO Binjie  WANG Xiaolei  WEN Fushuan  ZHANG Xizhu  WANG Lei
Affiliation:1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2. Department of Electrical & Electronic Engineering, Institute Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei;3. State Grid Zhejiang Electric Power Corporation Economic Research Institute, Hangzhou 310008, China
Abstract:Appropriate planning of charging facilities is of significant importance for the development of electric vehicles (EVs). Given this background, a systematical approach for siting and sizing of EV charging facilities based on geographical zonal EV charging demand coefficients is proposed. A charging load prediction model is presented at first, based on the analysis of various charging modes. The demands for different charging facilities are subsequently calculated with the inputs of daily energy charging needs and the maximum plug-in numbers for all types of EVs. Then, the planning region is divided into different geographical zones, and the charging demand coefficient in each zone is determined. These zones with higher charging demand coefficients are selected as the candidates for installing charging facilities, and the demands for the charging facilities in these candidate zones are also determined. Finally, the planning scenario of EV charging facilities in Hangzhou is employed to illustrate the essential features of the developed method.
Keywords:electric vehicle (EV)  charging facilities  geographical zones  charging demand coefficient  siting and sizing  
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