针对大型电力系统模型的复杂性和时变性使得离线计算结果可靠度不高的问题,利用广域测量条件下数据实时同步高速采集的优点,将广义预测控制理论应用于电网阻尼控制系统,提出一种适用于广域测量条件的电力系统阻尼控制器设计方案,以实现系统的实时监测、滚动优化和反馈控制。该方案引入预估补偿器以克服远方反馈信号的时滞对控制性能的影响;通过在线辨识参数不断修正广义预测控制器模型和预估器参数进行优化控制,达到改善互联电网阻尼、抑制低频振荡的目的。基于EPRI36节点系统和国内某实际电网的仿真试验结果证实了控制方法的有效性。
Due to the complexity and time-varying of large-scale power system model, the reliability of off-line calculation results is unsatisfied. By use of the advantage of high speed real-time synchronous data acquisition of wide-area measurement system (WAMS) and applying generalized predictive control theory in power system stabilizer (PSS) design, a PSS design scheme suitable to WAMS is proposed to implement real-time monitoring, online identification of parameterized model, receding horizon optimization ,and feedback control. The predictor is led into this scheme to overcome the affect of communication time-delay of remote feedback signal on control performance; by means of online identified parameters the generalized predictive controller model and predictor parameter are continually modified to achieve optimal control, improve the power system damping and suppress low-frequency oscillation. Simulation results of EPRI 36-bus system and a certain domestic power network verify the effectiveness of the proposed control method.