用于次同步振荡模态提取的柔性原子滤波

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Abstract The conventional subsynchronous oscillations (SSO) mode extraction methods have some shortages, such as lower mode identification, worse dynamic characteristics and poor anti-noise ability. Thus, this paper proposes a novel flexible atom filtering method, where the time and frequency window can be adjusted flexibly. Thus high mode identification and fast dynamic characteristics can be achieved. The central frequency of the filter is set within the SSO frequency scale. By filtering, the method can obtain the frequency and amplitude envelope curves. The least square method is deployed to get initial oscillation amplitude and attenuation factor. Matlab simulation cases and IEEE first benchmark cases in EMTDC/PSCAD have verified the correctness and effectiveness of the method. The simulation results have shown that the method can accurately identify the spectrum-intensive complex oscillation modes and time varying oscillations. The method is also robust to Gauss white noise.

Key words： Subsynchronous oscillation flexible atom filter dynamic characteristics scale factor noise robust IEEE first benchmark model

Received: 14 March 2016 Published: 29 March 2017

PACS:

TM712

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	Articles by authors
	Liu Lin
	Li Haifeng
	Luo Kaiming
	Lu Xiao
	Lin Tao
	Xue Feng

Cite this article:

Liu Lin,Li Haifeng,Luo Kaiming等. Flexible Atom Filtering for Subsynchronous Oscillations Mode Extraction[J]. Transactions of China Electrotechnical Society, 2017, 32(6): 98-105.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I6/98

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