Transformer Partial Discharge UHF Signal Denoising Method Based on Improved Variational Mode and Singular Value Decomposition

Abstract

The invention discloses a denoising method for a partial discharge ultrahigh-frequency signal of a transformer based on the improved variational mode and SVD (singular value decomposition). The methodcomprises the following steps: collecting a partial discharge signal of oil-paper insulation of the transformer by using an ultra-high frequency detection method, performing the variational mode decomposition of the collected partial discharge signal; optimizing the parameters of the variational mode decomposition algorithm through using the evolutionary algorithm, and introducing a kurtosis indicator to filter out narrowband noise; performing the SVD of a signal with the narrow-band noise being filtered; improving a singular value screening process in the SVD algorithm through using a clustering algorithm, thereby achieving the better filtering of white noise. The method has the characteristics of high precision, good denoising effect and small distortion, and is suitable for real-time monitoring of oil-paper insulation of the transformer, partial discharge signal detection and the like.

Description

technical field [0001] The invention relates to the field of transformer partial discharge detection, in particular to a transformer partial discharge UHF signal denoising method based on improved variational mode and singular value decomposition. Background technique [0002] As one of the means to measure the deterioration of transformer oil-paper insulation, partial discharge detection is recognized as the most effective strategy for transformer condition monitoring. The transformer is the most critical equipment in the power grid, so it is particularly important to monitor its condition. UHF detection technology is based on capturing electromagnetic waves emitted from partial discharge locations, and has been applied to the detection of partial discharges in power transformers as early as the last century. The UHF detection method has the advantages of high frequency band, high sensitivity, and strong anti-interference, and is widely used in actual detection. However, ...

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Problems solved by technology

[0004] Aiming at the problem that only a single noise can be removed in the technical background, the present invention provides a transformer partial discharge UHF signal denoising method based on improved variational mode and singular value decomposition, aiming at the denoising method proposed in the technical background To solve the problem of serious distortion of the post-partial discharge signal, this method proposes to use the particle swarm optimization algorithm to optimize the parameters of the variational mode decomposition, and use the local density clustering algorithm to optimize the singular value screening process

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