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电力系统暂态稳定控制问题的难点是要解决一个具有强非线性、不确定性的大系统控制问题。在实际多机系统中暂态稳定问题多以多模振荡的形式出现 ,迭代自学习控制方法是一种有效的控制方法 ,该方法的关键是如何能实时在线地获得机电振荡主要频率的信息。文中用最小二乘法在线辨识用于补偿的戴维南等值阻抗 ,并利用 Prony分析法计算当前系统主要机电振荡频率。基于辨识结果在线修正控制器的参数 ,使控制系统能在很短的时间内适应系统的变化。数字仿真结果证实了由于在线识别参数 ,系统的性能得到了改善
The difficulty of the power system transient stability control problem is to solve a large system control problem with strong nonlinearity and uncertainty. In the real multi-machine system, the transient stability problems often appear in the form of multi-mode oscillation. Iterative self-learning control method is an effective control method. The key of this method is how to obtain the main frequency information of electromechanical oscillation on-line in real time. In this paper, the Thevenin equivalent impedance for compensation is identified online by the method of least squares, and the main electromechanical oscillation frequency of the current system is calculated by Prony analysis. Based on the identification results, the parameters of the controller are modified online to make the control system adapt to the system changes in a short time. The numerical simulation results confirm that the performance of the system has been improved due to the online identification of parameters