大规模电动汽车充电需求及影响因素

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摘要通过分析传统汽车的行驶规律,建立了大规模通勤用电动汽车充电需求模型,探讨了对充电需求的影响因素。论文在用户行驶开始时间、结束时间和行驶里程三个因素无关的条件假设下,采用蒙特卡洛模拟方法建立了规模化电动汽车充电需求模型。基于用户行驶规律,分析了电动汽车类型、充电功率、渗透率和充电情景等因素对规模化电动汽车充电需求的影响,通过仿真实验分别得到各影响因素对充电需求的影响情况。

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	杨冰
	王丽芳
	廖承林

关键词 ：充电需求, 电动汽车, 蒙特卡洛, 影响因素

Abstract：A power-charging demand model of large-scale electric vehicles (EVs) which are used for commuting is established under the traffic rule of the tradition vehicles, and then the impacting factors of the demand are investigated in this work. Under the hypothesis that the factors, which include users’ starting time, ending time and the travelled distance, are independent each other, Monte Carlo simulation method is used to establish a power-charging demand model. Under the situation that the users’ habits is fixed, the charging demand model is used to analyze the factors including EVs’ types, charging power, EVs’ penetration rates, and the charging scenarios to the power-charging demand. The impact results, different impacting factors to the charging demand, are achieved after the comparisons of simulation experiments.

Key words： Power-charging demand electric vehicles Monte Carlo impacting factors

收稿日期: 2012-09-20 出版日期: 2013-11-28

PACS:

TM911

基金资助:国家高技术研究发展计划(863计划)资助项目(2011AA05A109)。

作者简介: 杨冰男，1987年生，博士研究生，主要从事规模化电动汽车充电需求和对电网影响研究。王丽芳女，1971年生，博士，研究员，博士生导师，主要从事电动汽车、智能电网相关技术等方面的研究。

引用本文:

杨冰, 王丽芳, 廖承林. 大规模电动汽车充电需求及影响因素[J]. 电工技术学报, 2013, 28(2): 22-27. Yang Bing, Wang Lifang, Liao Chenglin. Research on Power-Charging Demand of Large-Scale Electric Vehicles and Its Impacting Factors. Transactions of China Electrotechnical Society, 2013, 28(2): 22-27.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2013/V28/I2/22

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