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文章摘要
计及充电需求差异的电动汽车充电设施协同优化配置
Collaborative optimization configuration of electric vehicle charging facilities considering differences in charging demand
Received:February 29, 2024  Revised:April 07, 2024
DOI:10.19753/j.issn1001-1390.2024.12.021
中文关键词: 电动汽车  充电需求  充电时长  充电设施优化配置
英文关键词: electric vehicle, charging demand, charging duration, optimization configuration of charging facilities
基金项目:中国南网电网有限责任公司科技项目(073000KK52220001)
Author NameAffiliationE-mail
PANG Songling 1.Electric Power Research Institute of Hainan Power Grid Co., Ltd., Haikou 570100, China. 2. Tropical Smart Grid Lab, Haikou 570100, China pangsongling81@163.com 
ZHAO Hailong 1.Electric Power Research Institute of Hainan Power Grid Co., Ltd., Haikou 570100, China. 2. Tropical Smart Grid Lab, Haikou 570100, China zhaohl198@163.com 
ZHANG Chenjia 1.Electric Power Research Institute of Hainan Power Grid Co., Ltd., Haikou 570100, China. 2. Tropical Smart Grid Lab, Haikou 570100, China zhaohl198@163.com 
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中文摘要:
      随着电动汽车的普及,充电设施的优化配置成为关键。考虑到电动汽车充电需求的差异性,文章研究了充电设施协同优化配置的方法。文中分析了不同类型电动汽车(如公交车、出租车、公务车和私家车)的日行驶里程和充电时长特性,发现它们之间存在显著差异,利用这些特性指导充电设施的布局和规划,以区域充电站投资回报率最大化建立目标函数,在综合考虑激励型需求响应补偿费用、充电不可利用率、充电桩最大负荷需求、容量间比例关系以及充电功率约束后,实现了对区域内电动汽车充电设施的协同优化配置。某示范城市的实验测试结果表明,所提方法能够合理配置快速充电桩和慢速充电桩,有效降低电动汽车充电设施建设成本费用。
英文摘要:
      With the popularization of electric vehicles, optimizing the configuration of charging facilities has become crucial. Considering the differences in charging needs of electric vehicles, this paper studies the method of collaborative optimization configuration of charging facilities. The daily mileage and charging duration characteristics of different types of electric vehicles (such as buses, taxis, government vehicles, and private cars) are analyzed, and significant differences are found between them. These characteristics are used to guide the layout and planning of charging facilities, and an objective function is established to maximize the return on investment of regional charging stations. After considering the compensation cost of incentive demand response, charging unavailability, maximum load demand of charging piles, proportional relationship between capacities, and charging power constraints, collaborative optimization configuration of electric vehicle charging facilities in the region is achieved. The experimental test results of a demonstration city show that the proposed method can reasonably configure fast charging piles and slow charging piles, effectively reducing the construction cost of electric vehicle charging facilities.
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