Abstract
As one of the most effective methods to detect the partial discharge (PD) of transformers, high frequency PD detection has been widely used. However, this method also has a bottleneck problem; the biggest problem is the mixed pulse interference under the fixed length sampling. Therefore, this paper focuses on the study of a new pulse segmentation technology, which can separate the partial discharge pulse from the sampling signal containing impulse noise so as to suppress the interference of pulse noise. Based on the characteristics of the high-order-cumulant variation at the rising edge of the pulse signal, a method for judging the starting and ending time of the pulse based on the high-order-cumulant is designed, which can accurately extract the partial discharge pulse from the original data. Simulation results show that the location accuracy of the proposed method can reach 94.67% without stationary noise. The field test shows that the extraction rate of the PD analog signal can reach 79% after applying the segmentation method, which has a great improvement compared with a very low location accuracy rate of 1.65% before using the proposed method.
Highlights
Academic Editors: Guoming Ma, The safe and stable operation of UHV converter transformers is the key to ensure the stability and reliability of cross regional energy interconnection
High frequency partial discharge detection systems have been widely used in electrical equipment health management by electrical equipment maintenance enterprises, mainly including daily maintenance online monitoring and periodic diagnostic live detection [3,4]
In reference [5], the independent principal component analysis method is used to design a filter to filter the stationary noise in field detection, which has a large amount of calculation; on this basis, document [6] introduces the singular spectrum front end to further filter out white noise and periodic narrowband interference and solves the problem of the difficult extraction of principal component analysis under a low signal-to-noise ratio
Summary
Academic Editors: Guoming Ma, The safe and stable operation of UHV converter transformers is the key to ensure the stability and reliability of cross regional energy interconnection. Because of its high sampling rate and high sensitivity, it can obtain rich defect information so as to improve the accuracy and reliability of subsequent diagnosis results Despite these advantages, high frequency partial discharge detection has significant disadvantages, such as a large amount of data and large interference noise. The author developed an adaptive extraction system, which divides the original discrete PD sequence into several time frames and continuously performs discrete wavelet transform (DWT) on each frame until the segment containing partial discharge pulse is identified [20,21,22]. According to the above literature, these pulse segmentation methods can be reasonably divided into two categories: (1) signal analysis and pulse detection; (2) feature extraction and pulse recognition. The signal is a single pure pulse signal, which can realize the separation of the commutation pulse and the analog signal
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