引用本文:张岩,卜旭辉,陈宗遥.控制器动态线性化互联电力系统数据驱动负荷频率控制[J].控制理论与应用,2025,42(9):1818~1826.[点击复制]
ZHANG Yan,BU Xu-hui,CHEN Zong-yao.Controller-dynamic-linearization-based data-driven load frequency control for interconnected power systems[J].Control Theory & Applications,2025,42(9):1818~1826.[点击复制]
控制器动态线性化互联电力系统数据驱动负荷频率控制
Controller-dynamic-linearization-based data-driven load frequency control for interconnected power systems
摘要点击 3268  全文点击 165  投稿时间:2023-06-11  修订日期:2025-02-13
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DOI编号  10.7641/CTA.2024.30403
  2025,42(9):1818-1826
中文关键词  互联电力系统  负荷频率控制  动态线性化  长短期记忆神经网络
英文关键词  interconnected power systems  load frequency control  dynamic linearization  long short-term memory neural networks
基金项目  国家自然科学基金项目(62273133),河南省自然科学基金杰出青年基金项目(242300421053),中原科技创新领军人才项目(254200510001)资助.
作者单位E-mail
张岩 河南理工大学电气工程与自动化学院 360343115@qq.com 
卜旭辉* 河南理工大学电气工程与自动化学院 buxuhui@gmail.com 
陈宗遥 河南理工大学电气工程与自动化学院  
中文摘要
      本文针对复杂电力系统难以准确建模、系统参数扰动和非线性物理限制引发调频性能下降的问题,提出一 种基于控制器动态线性化技术的数据驱动负荷频率控制算法.首先,将非线性互联电力系统等效为动态线性函数 模型,利用自适应观测器获取系统伪偏导数的估计值.假定理想控制器存在,给出其等价的参数化可实现控制器形 式. 其次,构建一个长短期记忆神经网络对控制器参数进行在线整定.在理论上严格证明了闭环电力系统的稳定性 和观测器估计方法的收敛性.最后,在互联电力系统上仿真验证了本文负荷频率控制算法在独立于电力系统的模 型信息,且不测量系统状态信号情况下,实现频率调节的有效性.
英文摘要
      To the problem that complex power systems are difficult to model accurately, system parameter perturba tions and nonlinear physical constraints lead to the degradation of frequency modulation performance, a data-driven load frequency control (LFC) algorithm based on controller dynamic linearization is proposed. Firstly, the nonlinear inter connected power system is equivalent to a dynamic linear function model and the estimated value of the pseudo partial derivative (PPD) is obtained by using an adaptive observer. Assuming the existence of an ideal controller, the equivalent parameterized realizable controller form is given. Secondly, a long short-term memory (LSTM) neural network is construct ed to adjust the controller parameters online. The stability of closed-loop power system and the convergence of observer estimation method are proved strictly in theory. Finally, the effectiveness of the proposed load frequency control algorithm in realizing frequency regulation is verified by simulation on the interconnected power system, which is independent of the model information of the power system and does not measure the system status signal.