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同步发电机励磁控制对提高电力系统稳定性起着重要的作用。当电力系统发生故障或受到扰动时,容易出现长时间的低频率振荡,严重影响系统的稳定运行。为了提高电力系统运行的稳定性,在讨论励磁控制现有控制方式和分析预测函数控制(PFC)算法和PID算法的基础上,将预测函数控制算法的性能指标构造成PID形式,推导出改进的PID型预测函数控制算法(PIDPFC),并应用于同步发电机励磁系统控制。通过仿真研究对比,在时域内分析了PIDPFC控制器的参数选择对系统控制性能的影响,取得了预期的结果,仿真结果表明了PIDPFC算法的优点。
Synchronous generator excitation control plays an important role in improving the stability of power system. When the power system breaks down or is disturbed, it is easy to appear low-frequency oscillation for a long time, which seriously affects the stable operation of the system. In order to improve the stability of power system operation, based on discussing the existing control methods of excitation control and the analysis of PFC and PID algorithms, the performance index of the predictive function control algorithm is constructed into PID form and the improved PID predictive function control algorithm (PIDPFC), and applied to synchronous generator excitation system control. Through the comparison of simulation research, the influence of PIDPFC controller parameter selection on system control performance is analyzed in time domain, and the expected results are obtained. The simulation results show the advantages of PIDPFC algorithm.