| 电动汽车充换电站参与电网AGC功率分配的成本一致性算法 |
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| 引用本文： | 李清,张孝顺,余涛,瞿凯平,郑炜楠,刘前进.电动汽车充换电站参与电网AGC功率分配的成本一致性算法[J].电力自动化设备,2018,38(3). |
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| 作者姓名： | 李清 张孝顺 余涛 瞿凯平 郑炜楠 刘前进 |
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| 作者单位： | 华南理工大学 电力学院，广东 广州 510640,华南理工大学 电力学院，广东 广州 510640,华南理工大学 电力学院，广东 广州 510640,华南理工大学 电力学院，广东 广州 510640,华南理工大学 电力学院，广东 广州 510640,华南理工大学 电力学院，广东 广州 510640 |
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| 基金项目： | 国家重点基础研究发展计划(973 计划)项目(2013-CB228205)；国家自然科学基金资助项目(51477055) |
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| 摘 要： | 搭建电动汽车充换电站参与电网自动发电控制(AGC)功率分配的框架,并建立其优化数学模型。在此基础上,提出电动汽车参与AGC功率分配的成本一致性算法。智能体间采用虚拟一致性变量作为一致性交互计算信息,同时以真实一致性变量确定电动汽车的AGC功率,提高算法的应用灵活性。某电网模型仿真结果表明:成本一致性算法可以减少电网调节成本,提高区域电网的控制性能标准,且能有效实现电动汽车参与电网AGC功率分配的自律调频。
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| 关 键 词： | 电动汽车 电动汽车充换电站 成本一致性算法 自动发电控制 自律调频 |
Cost consensus algorithm of electric vehicle charging station participating in AGC power allocation of grid |
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| LI Qing,ZHANG Xiaoshun,YU Tao,QU Kaiping,ZHENG Weinan and LIU Qianjin.Cost consensus algorithm of electric vehicle charging station participating in AGC power allocation of grid[J].Electric Power Automation Equipment,2018,38(3). |
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| Authors: | LI Qing ZHANG Xiaoshun YU Tao QU Kaiping ZHENG Weinan and LIU Qianjin |
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| Affiliation: | College of Electric Power, South China University of Technology, Guangzhou 510640, China,College of Electric Power, South China University of Technology, Guangzhou 510640, China,College of Electric Power, South China University of Technology, Guangzhou 510640, China,College of Electric Power, South China University of Technology, Guangzhou 510640, China,College of Electric Power, South China University of Technology, Guangzhou 510640, China and College of Electric Power, South China University of Technology, Guangzhou 510640, China |
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| Abstract: | A framework of electric vehicle charging station participating in the AGC power allocation of grid is constructed and its optimal mathematical model is established, based on which, a cost consensus algorithm of electric vehicle charging station participating in AGC power allocation is proposed. In order to improve the application flexibility of algorithm, the virtual consensus variables are taken as the information of consensus interactive calculation among agents while the actual consensus variables are adopted to determine the AGC power of electric vehicle. Simulative results of a power grid model show that, the proposed algorithm can reduce the regulation costs and enhance the AGC performance of power grid, and can also effectively achieve autonomous frequency regulation of electric vehicles participating in AGC power allocation. |
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| Keywords: | electric vehicles electric vehicle charging station cost consensus algorithm automatic generation control autonomous frequency regulation |
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