基于改进Hilbert-Huang变换的电网故障诊断

doi:10.19595/j.cnki.1000-6753.tces.180327

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Abstract When the fault occurs in the power system, the electric quantity information such as the current and voltage, is changed primarily, and is better in instantaneity, accuracy and completeness than the switching value information. In this paper, for the existing phenomenon of over-envelope and under-envelope of Hilbert-Huang transform (HHT) in fault feature extraction on current signals, three Binary subdivision method was used to improve the Hilbert-Huang transform. By comparing the results of Hilbert marginal spectrum and amplitude and frequency distortion degree by improved HHT and HHT, it was shown that the faulty component diagnosis result obtained by the improved HHT processing has higher accuracy and reliability, and avoids the uncertainty caused by the use of the switch quantity information. The experimental results show that the local subdivision cubic spline interpolation method can improve the over-envelope and under-envelope phenomena of Hilbert-Huang transform, and improve the accuracy of grid fault diagnosis results.

Key words： Power grid fault diagnosis Hilbert-Huang transform (HHT) 3-point Binary Subdivision empirical mode decomposition (EMD)

Received: 28 June 2018 Published: 29 July 2019

PACS:

TM711

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	Articles by authors
	Jiang Haifeng
	Zhang Man
	Zhao Binyan
	Wang Baohua
	Huang Meng

Cite this article:

Jiang Haifeng,Zhang Man,Zhao Binyan等. Fault Diagnosis of Power Grid Based on Improved Hilbert-Huang Transform[J]. Transactions of China Electrotechnical Society, 2019, 34(zk1): 336-342.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.180327 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/Izk1/336

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