次同步振荡的频率切片小波变换检测方法

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Abstract It is hard to use the existing methods to effectively identify subsynchronous oscillation (SSO) of power system. Most methods are sensitive to noise, and it is difficult to obtain the characteristic and development trend of oscillation. In this paper, a method using Frequency Slice Wavelet Transform (FSWT) is proposed for analysis and parameter identification of SSO. FSWT can cut time-frequency areas freely, so that full band time-frequency distribution analysis and fine analysis can be realized. Firstly, SSO signal is decomposed by FSWT and the full band of its time-frequency distribution is obtained. After that,due to its energy distribution, the occurrence of SSO can be predicted, and determined the number and frequency slices of modal components can be determined. Through reconstructing signals in characteristic frequency slices, separation and extraction of SSO mode components are realized. Finally, high-accuracy detection for modal parameter identification is achieved by the Hilbert transform.

Key words： Subsynchronous oscillation time frequency analysis frequency slice wavelet transform parameter identification

Received: 31 August 2016 Published: 29 March 2017

PACS:

TM712

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	Zhao Yan
	Li Wujing
	Nie Yonghui

Cite this article:

Zhao Yan,Li Wujing,Nie Yonghui. A Method for Subsynchronous Oscillation Detection Using Frequency Slice Wavelet Transform[J]. Transactions of China Electrotechnical Society, 2017, 32(6): 106-114.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I6/106

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