基于小波能量系数的主导低频振荡模式检测

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Abstract A new algorithm about dominant inertial modes detection for power systems is proposed in this paper. First, empirical mode decomposition(EMD) is used to acquire main features of inertial modes from system power angle or power curves, then continuous wavelet transform is effectively applied to extract modes parameters, finally the dominant inertial modes are identified by calculation of wave energy coefficient. This method, unrestricted from the size of system, can effectively analyze and detect the dominant inertial modes of power systems, and it can overcome the defect of dimension disaster to linear eigenvalue analysis algorithm when calculate the dominant inertial modes of system. The simulation results show that this algorithm can accurately detect dominant inertial modes of power systems. The results are identical to the analytical conclusions based on normal form theory, then it is verified that this algorithm can be correctly and effectively used to detect the dominant inertial modes of power systems.

Key words： Empirical mode decomposition continuous wavelet transform dominant low frequency oscillation modes normal form theory

Received: 28 May 2007 Published: 17 February 2014

PACS:

TM712

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	Deng Jixiang
	Ou Xiaogao
	Yao Tianliang

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Deng Jixiang,Ou Xiaogao,Yao Tianliang. Detection of the Dominant Inertial Modes Based on Wavelet Energy Coefficient[J]. Transactions of China Electrotechnical Society, 2009, 24(8): 141-146.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2009/V24/I8/141

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