| 电动汽车实时可调度容量评估方法研究 |
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| 引用本文： | 张聪,张祥文,夏俊荣,孙海顺,汪春,许晓慧,吴可.电动汽车实时可调度容量评估方法研究[J].电力系统保护与控制,2015,43(22):99-106. |
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| 作者姓名： | 张聪 张祥文 夏俊荣 孙海顺 汪春 许晓慧 吴可 |
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| 作者单位： | 强电磁工程与新技术国家重点实验室(华中科技大学)，湖北 武汉 430074;中国电力科学研究院，北京 100192;中国电力科学研究院，北京 100192;强电磁工程与新技术国家重点实验室(华中科技大学)，湖北 武汉 430074;中国电力科学研究院，北京 100192;中国电力科学研究院，北京 100192;强电磁工程与新技术国家重点实验室(华中科技大学)，湖北 武汉 430074 |
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| 基金项目： | 国家科技支撑计划项目(2013BAA01B00)；国家自然科学基金委项目(51361135703)；国家电网公司科技项目 |
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| 摘 要： | 作为智能电网的重要组成部分,电动汽车通过调控充放电功率可为电网提供备用容量,参与调峰调频等辅助服务,但该容量会受到用户出行需求、电池损耗等因素的影响。基于此,首先分析了电动汽车参与电网调度的控制模式,综合考虑用户出行需求、电池寿命、电池电量等约束,提出了一种规模化电动汽车实时可调度容量的评估算法。最后,模拟了一种以平抑总负荷波动为目标的充放电场景,根据可调度容量所需持续时间,基于所提方法评估出了分别用于电网一次、二次以及三次调频的电动汽车实时可调度容量,验证了该方法的有效性。
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| 关 键 词： | 电动汽车 充放电策略 可调度容量 用户需求 |
| 收稿时间： | 2015/4/20 0:00:00 |
| 修稿时间： | 7/2/2015 12:00:00 AM |
Research on estimation of electric vehicles real-time schedulable capacity |
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| ZHANG Cong,ZHANG Xiangwen,XIA Junrong,SUN Haishun,WANG Chun,XU Xiaohui and WU Ke.Research on estimation of electric vehicles real-time schedulable capacity[J].Power System Protection and Control,2015,43(22):99-106. |
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| Authors: | ZHANG Cong ZHANG Xiangwen XIA Junrong SUN Haishun WANG Chun XU Xiaohui and WU Ke |
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| Affiliation: | State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science
and Technology, Wuhan 430074, China;China Electric Power Research Institute, Beijing 100192, China;China Electric Power Research Institute, Beijing 100192, China;State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science
and Technology, Wuhan 430074, China;China Electric Power Research Institute, Beijing 100192, China;China Electric Power Research Institute, Beijing 100192, China;State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science
and Technology, Wuhan 430074, China |
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| Abstract: | As an important part of smart grid, electric vehicles (EVs) can supply reservation to grid by regulating charging and discharging power, providing ancillary services such as peak regulation, frequency regulation, etc. But the capacity is influenced by user demand, battery loss, etc. Firstly, the control model of EV involving in power dispatching is analyzed. Then an evaluation algorithm of EV real-time schedulable capacity is proposed. The algorithm considers the user demand, battery life and battery power constraints comprehensively. Finally, a scene of smart charging to stabilize the total load fluctuation is simulated, and the proposed algorithm is applied to calculate EV aggregator real-time schedulable capacity used for primary frequency regulation, secondary frequency regulation, and tertiary frequency regulation, based on required duration of schedulable capacity, which verifies the effectiveness of the algorithm. |
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| Keywords: | electric vehicles charging and discharging strategy schedulable capacity user demand |
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