基于不完全S变换的低频振荡在线辨识方法

Online Identification Method for Low Frequency Oscillation Based on Incomplete S Transform

针对传统的低频振荡辨识方法无法确定低频振荡的起振时间点,不利于调度员分析振荡的起因,提出采用不完全S变换方法进行低频振荡的在线辨识,以提高算法的计算效率。仿真测试以及实例分析的结果表明基于不完全S变换的低频振荡在线辨识方法的辨识结果准确、抗噪能力强,能够有效地识别振荡模式个数以及振荡的起振时间点,具有很好的实用价值。

In allusion to the problem of traditional identification method for low frequency Oscillation being unable to determine starting time point of low frequency oscillation which was to the disadvantage of analyzing cause for oscillation,online identification method for low frequency oscillation by using incomplete S transform was proposed in order to improve calculating efficiency of the algorithm.Results of simulating testing and example analysis indicate that the identification result of the online identification method is accurate and of strong noise proof ability which is able to effectively identify numbers of oscillation modes and starting time points and has good practical value.