基于EMD-TEO及信号能量分析法的 主导低频振荡模式识别

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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．

Key words： Power system low frequency oscillation dominant inertial mode identification empirical mode decomposition Teager energy operator

Received: 21 October 2010 Published: 20 March 2014

PACS:

TM712

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	Articles by authors
	Wang Nana
	Liu Dichen
	Liao Qingfen
	Chen Enze
	Huang Yong
	Zhao Hongsheng

Cite this article:

Wang Nana,Liu Dichen,Liao Qingfen等. Identification of the Dominant Inertial Mode Based on EMD-TEO and Signal Energy Method[J]. Transactions of China Electrotechnical Society, 2012, 27(6): 198-204.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2012/V27/I6/198

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