| 考虑驾驶人行为习惯及出行链的电动汽车充电站站址规划 |
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| 引用本文： | 徐青山,蔡婷婷,刘瑜俊,姚良忠,曾平良.考虑驾驶人行为习惯及出行链的电动汽车充电站站址规划[J].电力系统自动化,2016,40(4):59-65. |
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| 作者姓名： | 徐青山 蔡婷婷 刘瑜俊 姚良忠 曾平良 |
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| 作者单位： | 东南大学电气工程学院, 江苏省南京市 210096,东南大学电气工程学院, 江苏省南京市 210096,东南大学电气工程学院, 江苏省南京市 210096,中国电力科学研究院, 北京市 100192,中国电力科学研究院, 北京市 100192 |
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| 基金项目： | 国家自然科学基金资助项目(51361130152)；江苏省普通高校研究生科研创新计划项目(SJLX15_0049) |
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| 摘 要： | 电动汽车充电站作为电动汽车重要配套基础设施,直接影响电动汽车行驶的便利性和经济性,站址规划是否合理成为电动汽车能否普及的关键因素之一。为了提高充电站的覆盖率和服务率,文中基于出行链思想对出行者空间行为特性进行分析,建立了电动汽车空间充电需求模型,以充电需求为衡量站址合理性的指标之一进行站址优化,然后基于Voronoi思想,利用免疫算法建立充电站站址选择模型,从而得到充电站合理布局规划结果,扩大了电动汽车可充电范围,提高了充电站的服务率。
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| 关 键 词： | 电动汽车 充电站 站址选择 优化规划 充电需求 行为特性 |
| 收稿时间： | 7/4/2015 12:00:00 AM |
| 修稿时间： | 2015/12/24 0:00:00 |
Location Planning of Charging Stations for Electric Vehicles Based on Drivers' Behaviours and Travel Chain |
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| XU Qingshan,CAI Tingting,LIU Yujun,YAO Liangzhong and ZENG Pingliang.Location Planning of Charging Stations for Electric Vehicles Based on Drivers' Behaviours and Travel Chain[J].Automation of Electric Power Systems,2016,40(4):59-65. |
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| Authors: | XU Qingshan CAI Tingting LIU Yujun YAO Liangzhong and ZENG Pingliang |
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| Affiliation: | School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,China Electric Power Research Institute, Beijing 100192, China and China Electric Power Research Institute, Beijing 100192, China |
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| Abstract: | Electric vehicle(EV)charging stations are important infrastructures which directly influence the convenience and economy of EVs. The rationality of charging station location is one of the key factors which can decide the popularity of EVs. In order to improve the coverage and service rate of charging stations, the features of EVs are analyzed and a model for EVs' charging demand is developed based on the travel chain. The charging demand is set as one of the indices to optimize the charging station location. Then, based on the idea of Voronoi, the immunity algorithm method is used to develop the model of charging station location for obtaining the rational distribution of the charging stations. The optimized results have enlarged the range of charging while improving the service rate of the station. |
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| Keywords: | electric vehicles(EVs) charging station station location selection optimal planning charging demand behaviour characteristic |
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