| 需求响应下的电动汽车充电设施配置模型 |
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| 引用本文： | 吕媛,何永秀,王可蕙,苏凤宇. 需求响应下的电动汽车充电设施配置模型[J]. 现代电力, 2022, 39(4): 469-477. DOI: 10.19725/j.cnki.1007-2322.2021.0144 |
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| 作者姓名： | 吕媛 何永秀 王可蕙 苏凤宇 |
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| 作者单位： | 1.华北电力大学 经济与管理学院，北京市昌平区 102206 |
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| 摘 要： | 随着双碳目标、新基建等政策的推行，电动汽车数量增长成为必然的趋势，电动汽车用户将成为需求响应的重要主体之一。用户在参加需求响应的过程中将会改变电动汽车充电时间以及电量，带来充电负荷需求的时空迁移，原有的充电设施规划结果需要调整。基于此，考虑价格型需求响应以及激励型需求响应对电动汽车规划结果的影响，首先从用户角度出发，以用户充电成本最低为目标函数建立不同需求响应模式下电动汽车充电行为模型，并提出峰谷电价下的电动汽车需求响应策略，预测充电需求时空分布；在给定初选站址的情况下，从投资者的角度出发，以建设运营总利润最大化为目标建立充电设施规划模型，对充电站是否建设以及建设规模进行规划。最后应用算例对不考虑需求响应、考虑价格型需求响应、考虑激励型需求响应下的电动汽车充电设施进行规划，并对需求响应参与度、需求响应价格对运营商投资收益率的敏感性进行了分析。
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| 关 键 词： | V2G模式 充电需求预测 充电设施规划 激励型需求响应 峰谷电价 |
| 收稿时间： | 2021-06-07 |
Configuration Model of Electric Vehicle Charging Facilities Considering Demand Response |
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| Affiliation: | 1.School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China2.Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Changping District, Beijing 102206, China |
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| Abstract: | With the implementation of policies such as dual-carbon targets and new infrastructure construction, the number of electric vehicles has become an inevitable trend, and electric vehicle users will become one of the main players in demand response. In the process of participating in demand response, users will change the charging time and power of electric vehicles, which will bring about the temporal and spatial migration of charging load demand, and the original planning results of charging facilities are no longer applicable. This article considers the impact of price-based demand response and incentive-based demand response on the results of electric vehicle planning. First, from the user’s point of view, the charging behavior model of electric vehicles under different demand response modes is established with the lowest charging cost of users as the objective function, and electric vehicle demand response strategies under peak and valley electricity prices are proposed to predict the temporal and spatial distribution of charging demand. In the case of the site, from the perspective of investors, a charging facility planning model is established with the goal of maximizing the total profit of construction and operation, and the construction of the charging station and the scale of construction are planned. The calculation example plans the electric vehicle charging facilities without considering demand response, price-type demand response, and incentive-type demand response, and conducts sensitivity analysis on demand response participation and demand response price. |
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