Abstract：A new method about dominant inertial mode identification for power systems was proposed．The method integrated empirical mode decomposition(EMD), Teager energy operator(TEO) and signal energy method. EMD expands the applied scene of signal energy method without considering the ordering issues．The fast-response ability and robustness of TEO leads to a higher accuracy for frequency identification．Based on the second-order model signal energy method, the algorithm for dumping ratio was simplified．The method was verified in WEPRI-36 and actual grid by Q-R eigenvalue analysis and Prony algorithm．Its fitting-curve adaption to unlinear system is better than Prony algorithm, and it can be effectively used to detect the dominant inertial mode．
王娜娜, 刘涤尘, 廖清芬, 陈恩泽, 黄涌, 赵红生. 基于EMD-TEO及信号能量分析法的 主导低频振荡模式识别[J]. 电工技术学报, 2012, 27(6): 198-204.
Wang Nana, Liu Dichen, Liao Qingfen, Chen Enze, Huang Yong, Zhao Hongsheng. Identification of the Dominant Inertial Mode Based on EMD-TEO and Signal Energy Method. Transactions of China Electrotechnical Society, 2012, 27(6): 198-204.
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