| 电动汽车时序响应能力模型与控制策略 |
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| 引用本文： | 葛少云,连恒辉,刘洪,郭建祎,韩俊,李琥. 电动汽车时序响应能力模型与控制策略[J]. 电力系统自动化, 2016, 40(3): 33-38 |
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| 作者姓名： | 葛少云 连恒辉 刘洪 郭建祎 韩俊 李琥 |
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| 作者单位： | 智能电网教育部重点实验室, 天津大学, 天津市 300072,智能电网教育部重点实验室, 天津大学, 天津市 300072,智能电网教育部重点实验室, 天津大学, 天津市 300072,国网天津市电力公司检修分公司, 天津市, 300232,国网江苏省电力公司经济技术研究院, 江苏省南京市 210008,国网江苏省电力公司经济技术研究院, 江苏省南京市 210008 |
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| 基金项目： | 国家自然科学基金资助项目(51261130473,51477116);国网江苏省电力公司科技项目“基于高渗率DER和DG的可靠性评估分析关键技术研究” |
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| 摘 要： | 针对特定区域内的停驶电动汽车,研究了电动汽车负荷的主动控制能力。首先,根据停驶电动汽车的状态参量,建立电动汽车的状态矩阵;其次,将停驶的电动汽车进行状态分群,对其中处于可控状态的电动汽车的充电行为实施控制;最后,运用递推的思想计算得到可控电动汽车负荷裕度带,并且针对具体控制目标提出了相应的主动控制策略。在通信系统双向可靠的前提下,上层调度部门可以根据所建立的负荷裕度带,实时监控电动汽车负荷的利用裕度,从而达到利用电动汽车为区域提供负荷平衡的目的。
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| 关 键 词： | 电动汽车 有序充电 主动控制能力 区域风、光出力 新能源消纳 |
| 收稿时间： | 2015-03-31 |
| 修稿时间： | 2015-12-31 |
Timing Response Capability Model and Control Method of Electric Vehicle |
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| GE Shaoyun,LIAN Henghui,LIU Hong,GUO Jianyi,HAN Jun and LI Hu. Timing Response Capability Model and Control Method of Electric Vehicle[J]. Automation of Electric Power Systems, 2016, 40(3): 33-38 |
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| Authors: | GE Shaoyun LIAN Henghui LIU Hong GUO Jianyi HAN Jun LI Hu |
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| Affiliation: | Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China,Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China,Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China,State Grid Tianjin Power Maintenance Company, Tianjin 300232, China,State Grid Jiangsu Economic Research Institute, Nanjing 210008, China and State Grid Jiangsu Economic Research Institute, Nanjing 210008, China |
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| Abstract: | The active control ability of the electric vehicle(EV)load is studied for the parked EV in a specific area. Firstly, according to the status parameters of parked EVs, the status matrix of EVs is established. Secondly, all the parked EVs are divided into two status, i. e. , controllable status and uncontrollable status, and the charging behaviors of EVs with controllable status are controlled. Finally, the controllable EVs' load margin boundary is got by using recursion, and the corresponding control strategy for specific control objectives is proposed. In the premise of the reliable two-way communication system, the upper dispatch department can monitor the real-time using margin of EVs based on the EV load margin boundary, so as to achieve the goal of load balance with EVs for the specific area. This work is supported by National Natural Science Foundation of China(No. 51261130473, No. 51477116). |
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| Keywords: | electric vehicle ordered charging active control ability regional wind and photovoltaic generation new energy consumption |
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