基于多尺度线调频基稀疏信号分解的电力系统非平稳振荡信号特征提取

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Abstract

Along with the large-scale integration of power electronic equipment in power system, the oscillation of power system shows the features of non-stationary and mode coupling obviously. Based on multi-scale chirplet sparse signal decomposition (MCSSD), a method for extracting modes from non-stationary oscillation signals is proposed in this paper. The MCSSD method can decompose a signal into different dynamic time regions, and generate the signal component with the largest energy in each step with excellent aggregation of time-frequency. It is quite suitable for decomposing non-stationary signals. The power oscillation signal in power system can be considered as the response of multiple-modal system. The single modal responses are firstly obtained by MCSSD, and then the oscillation characteristic parameters are extracted by least square method. Cases study has proved the validity and adaptability of the proposed method in extracting modes from non-stationary oscillation signals in power system.

Key words： Multi-scale chirplet sparse signal decomposition non-stationary signal mode coupling

Received: 21 July 2016 Published: 29 March 2017

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TM712

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	Sun Zhenglong
	Cai Guowei
	Wang Yuwei
	Yang Deyou
	Liu Cheng

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Sun Zhenglong,Cai Guowei,Wang Yuwei等. Extracting Modes from Non-Stationary Oscillation Signals for Power System Based on Multi-Scale Chirplet Sparse Signal Decomposition[J]. Transactions of China Electrotechnical Society, 2017, 32(6): 31-40.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I6/31

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