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Sensors 2017, 17(2), 247; doi:10.3390/s17020247

A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation

1
School of Electrical Engineering, Wuhan University, No.299, Bayi Road, Wuhan 430072, China
2
Guangzhou Power Supply Bureau Co. Ltd., No.38, Huangshidong Road, Guangzhou 510620, China
*
Author to whom correspondence should be addressed.
Received: 15 December 2016 / Accepted: 23 January 2017 / Published: 27 January 2017
(This article belongs to the Section Physical Sensors)
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Abstract

To separate and locate multi-partial discharge (PD) sources in a substation, the use of spectrum differences of ultra-high frequency signals radiated from various sources as characteristic parameters has been previously reported. However, the separation success rate was poor when signal-to-noise ratio was low, and the localization result was a coordinate on two-dimensional plane. In this paper, a novel method is proposed to improve the separation rate and the localization accuracy. A directional measuring platform is built using two directional antennas. The time delay (TD) of the signals captured by the antennas is calculated, and TD sequences are obtained by rotating the platform at different angles. The sequences are separated with the TD distribution feature, and the directions of the multi-PD sources are calculated. The PD sources are located by directions using the error probability method. To verify the method, a simulated model with three PD sources was established by XFdtd. Simulation results show that the separation rate is increased from 71% to 95% compared with the previous method, and an accurate three-dimensional localization result was obtained. A field test with two PD sources was carried out, and the sources were separated and located accurately by the proposed method. View Full-Text
Keywords: substation; partial discharge localization; multiple PD sources separation; multi-point measuring direction; error probability substation; partial discharge localization; multiple PD sources separation; multi-point measuring direction; error probability
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MDPI and ACS Style

Li, P.; Zhou, W.; Yang, S.; Liu, Y.; Tian, Y.; Wang, Y. A Novel Method for Separating and Locating Multiple Partial Discharge Sources in a Substation. Sensors 2017, 17, 247.

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