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含风电场的交直流互联电网协作式分布式模型预测控制
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  • 英文篇名:Cooperative distributed model predictive control for AC/DC interconnected power grid with wind farms
  • 作者:林栋 ; 宋立国 ; 彭伟 ; 熊音笛
  • 英文作者:Lin Dong;Song Liguo;Peng Wei;Xiong Yindi;State Grid Beijing Electric Power Company;School of Electrical Engineering Wuhan University;
  • 关键词:交直流互联电网 ; 风电场 ; 频率稳定 ; 经济性调频 ; 分布式模型预测控制
  • 英文关键词:AC/DC interconnected power grid;;wind farm;;frequency stability;;economic frequency control;;distributed MPC
  • 中文刊名:NCNY
  • 英文刊名:Renewable Energy Resources
  • 机构:国网北京市电力公司;武汉大学电气工程学院;
  • 出版日期:2019-01-14
  • 出版单位:可再生能源
  • 年:2019
  • 期:v.37;No.245
  • 基金:国家重点研发计划(2017YFB0902000)
  • 语种:中文;
  • 页:NCNY201901016
  • 页数:7
  • CN:01
  • ISSN:21-1469/TK
  • 分类号:103-109
摘要
针对风电场输出功率的强波动性对交直流互联电网调频的影响,提出了基于协作式分布式模型预测控制的交直流互联电网调频控制方法,以提高风电经交直流通道外送互联系统的频率稳定性,克服集中式模型控制方法扩展性差的缺点,该控制策略具有全局最优解。文章建立了含风电场的交直流互联电网调频控制模型,构建了基于协作式分布式模型预测控制的含风电场交直流互联电网的经济性调频控制策略。以3区域交直流互联电网调频控制模型进行仿真,结果表明,文章所提出的协作式分布式模型预测控制方法,能够有效地改善风电场输出功率随机波动的频率稳定性,使系统频率及区域间交换功率在较小的范围内变化,其控制效果明显优于传统的分布式模型预测控制和分散式模型预测控制。
        In order to relieve the strong effect of wind farm output power fluctuation on frequency control of AC/DC interconnected power grid,a cooperative distributed model predictive control is proposed to improve the frequency stability of AC/DC interconnected power grid. In this paper,the frequency control model of AC/DC interconnected power grid with wind farm is set up,and the economic frequency control strategy based on cooperative distributed model predictive control for AC/DC interconnected power grid with wind farm is constructed,which has the most global solution.Taking the frequency control model of the three areas interconnected power grid as an example,the simulation results show that the proposed cooperative distributed model predictive control method can not only effectively improve the frequency stability caused by the random volatility of the wind farm output,but also maintain the system frequency and the exchange power among areas in a small range. And also the control effect is much better than the traditional distributed model predictive control and decentralized model predictive control.
引文
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