崔扬,颜湘武

• 1:华北电力大学电气与电子工程学院
• 2:华北电力大学河北省分布式储能与微网重点实验室

摘要(Abstract)：

针对大多数城市充电设施的最优选址无法得到满足的问题,提出了适用于供地不足城市的电动汽车充电网络规划方法。首先根据城市的实际条件给出电动汽车充电站的备选站址;然后基于能量等效原则将规划区域内加油站售油量折算为等效充电量,采用等负荷距分配法将等效电量分配至充电站和分散式充电设施进行负荷预测;最后校核约束条件确定最终规划方案。案例分析表明,分散式充电设施可满足私人充电需求且具有一定的公共服务能力,充电站可提供更大规模和更大功率的充电服务。

关键词(KeyWords)： 电动汽车;充电设施;充电站;能量等效;负荷预测

Abstract:

Keywords:

基金项目(Foundation): 中国电力科学研究院2019年实验室开放基金资助项目;; 南方电网科学研究院科技资助项目(SEPRI [2017]K1741B01)

作者(Author): 崔扬,颜湘武

DOI: 10.19635/j.cnki.csu-epsa.000300

参考文献(References)：

• [1]肖湘宁，温剑锋，陶顺，等（Xiao Xiangning,Wen Jianfeng,Tao Shun,et al）.电动汽车充电基础设施规划中若干关键问题的研究与建议（Study and recommendations of the key issues in planning of electric vehicles’charging facilities)[J].电工技术学报（Transactions of China Electrotechnical Society),2014,29(8):1-10.
• [2]贾龙，胡泽春，宋永华（Jia Long,Hu Zechun,Song Yonghua）.考虑不同类型充电需求的城市内电动汽车充电设施综合规划（An integrated planning of electric vehicle charging facilities for urban area considering different types of charging demands)[J].电网技术（Power System Technology),2016,40(9):2579-2587.
• [3]张程嘉，刘俊勇，刘友波，等（Zhang Chengjia,Liu Junyong,Liu Youbo,et al）.计及全寿命周期成本的两阶段电动汽车充电网络规划模型（Two-stage electric vehicle charging network planning model considering life cycle cost)[J].电网技术（Power System Technology),2016,40(12):3722-3731.
• [4]黄小庆，杨夯，陈颉，等（Huang Xiaoqing,Yang Hang,Chen Jie,et al）.基于LCC和量子遗传算法的电动汽车充电站优化规划（Optimal planning of electric vehicle charging stations based on life cycle cost and quantum genetic algorithm)[J].电力系统自动化（Automation of Electric Power Systems),2015,39(17):176-182.
• [5]麻秀范，王皓，李颖，等（Ma Xiufan,Wang Hao,Li Ying,et al）.基于变权Voronoi图和混合粒子群算法的电动汽车充电站规划（Optimal planning of charging stations for electric vehicle based on weight-changed Voronoi diagram and hybrid particle swarm optimization algorithm)[J].电工技术学报（Transactions of China Electrotechnical Society),2017,32(19):160-169.
• [6]闫天泽，邱晓燕，刘延博，等（Yan Tianze,Qiu Xiaoyan,Liu Yanbo,et al）.基于引入模拟退火思想的改进粒子群算法的电动汽车充电站最优规划（Optimal planning of electric vehicle charging station based on PSOSA algorithm)[J].电测与仪表（Electrical Measurement&Instrumentation),2017,54(6):11-16.
• [7]于擎，李菁华，赵前扶，等（Yu Qing,Li Jinghua,Zhao Qianfu,et al）.基于权重自适应调整的混沌量子粒子群算法的城市电动汽车充电站优化布局（Optimal planning of charging station for electric vehicle based on quantum ACQPSO algorithm)[J].电测与仪表（Electrical Measurement&Instrumentation),2017,54(13):110-114,119.
• [8]葛少云，朱林伟，刘洪，等（Ge Shaoyun,Zhu Linwei,Liu Hong,et al）.基于动态交通仿真的高速公路电动汽车充电站规划（Optimal deployment of electric vehicle charging stations on the highway based on dynamic traffic simulation)[J].电工技术学报（Transactions of China Electrotechnical Society),2018,33(13):2991-3001.
• [9]李宏仲，强伟，高宇男，等（Li Hongzhong,Qiang Wei,Gao Yunan,et al）.考虑用户出行特性和配电网线路可用裕度的充电站规划（Charging station planning considering users’travel characteristics and line availability margin of distribution network)[J].电力系统自动化（Automation of Electric Power Systems),2018,42(23):48-65.
• [10]黄飞腾，翁国庆，南余荣，等（Huang Feiteng,Weng Guoqing,Nan Yurong,et al）.基于改进云自适应粒子群的多DG配电网EV充电站优化配置（Optimization of electric vehicle charging stations based on improved cloud adaptive particle swarm in distribution network with multiple DG)[J].中国电机工程学报（Proceedings of the CSEE),2018,38(2):514-525.
• [11]葛少云，周昊，刘洪，等（Ge Shaoyun,Zhou Hao,Liu Hong,et al）.考虑车辆事故影响的高速公路充电站与服务区协同规划（Coordinated planning of highway charging stations and rest area)[J].电力系统及其自动化学报（Proceedings of the CSU-EPSA),2019,31(3):1-8.
• [12]王辉，王贵斌，赵俊华，等（Wang Hui,Wang Guibin,Zhao Junhua,et al）.考虑交通网络流量的电动汽车充电站规划（Optimal planning for electric vehicle charging stations considering traffic network flows)[J].电力系统自动化（Automation of Electric Power Systems),2013,37(13):63-69,98.