引用本文: | 米 阳,伦雪莹,孟凡斌,等.基于无模型算法和电动汽车辅助调节的新能源电力系统频率协调控制[J].电力系统保护与控制,2021,49(24):13-20.[点击复制] |
MI Yang,LUN Xueying,MENG Fanbin,et al.Frequency coordinated control of a new energy power system based on a model-free algorithm and EV auxiliary regulation[J].Power System Protection and Control,2021,49(24):13-20[点击复制] |
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摘要: |
为解决风电并网导致电力系统频率偏差过大的问题,设计了一种基于无模型负荷频率控制和电动汽车辅助调节的频率协调控制策略,能够在系统受到风电和负荷扰动时对其频率偏差进行快速调节。利用新能源电力系统的频率偏差设计了无模型自适应滑模负荷频率控制器,对传统机组进行二次频率调节。同时为充分利用电动汽车的快速响应能力,采用分频技术将区域控制高频偏差信号接入集群电动汽车控制中心作为调频参考指令,使得电动汽车参与辅助系统调频。最后通过Matlab/Simulink软件在不同的工况下进行对比分析,仿真结果验证了所提出策略的有效性。 |
关键词: 新能源电力系统 滑模算法 无模型自适应控制 电动汽车 负荷频率控制 |
DOI:DOI: 10.19783/j.cnki.pspc.210273 |
投稿时间:2021-03-16修订日期:2021-05-12 |
基金项目:国家自然科学基金项目资助(51977127);上海市科委项目资助(18020500700);上海绿色能源并网工程技术研究中心项目资助(13DZ2251900) |
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Frequency coordinated control of a new energy power system based on a model-free algorithm and EV auxiliary regulation |
MI Yang,LUN Xueying,MENG Fanbin,ZHANG Xiao,GE Xiaolin,LIN Shunfu |
(1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. State Grid Anyang Power Supply Company, Anyang 455000, China) |
Abstract: |
There can be a problem of excessive frequency deviation caused by wind power integration. Thus a frequency coordination control strategy based on a model-free LFC and EV auxiliary regulation is designed, one which can quickly adjust the frequency deviation when the system is disturbed by wind power and load. Based on the frequency deviation of the new energy power system, a model-free adaptive SM load frequency controller is designed to adjust the secondary frequency of traditional units. At the same time, in order to make full use of the fast response ability of the EVs, frequency division technology is used to connect the high frequency deviation signal of the regional control to the cluster EV control center as the frequency modulation reference command. In this way the EVs can participate in auxiliary system frequency modulation. Finally, Matlab/Simulink software is used for comparative analysis under different working conditions, and the simulation results verify the effectiveness of the proposed strategy.
This work is supported by the National Natural Science Foundation of China (No. 51977127), Shanghai Committee of Science and Technology Projects (No. 18020500700), and Shanghai Green Energy Grid Engineering Technology Research Center Projects (No. 13DZ2251900). |
Key words: new energy power system sliding mode algorithm model free adaptive control electric vehicles LFC |