Localization of Dual Partial Discharge in Transformer Windings Using Fabry–Pérot Optical Fiber Sensor Array

Feng Liu (), Jian Du, Yansheng Shi, Shuainan Zhang and Wei Wang
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Feng Liu: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Jian Du: State Grid Beijing Electric Power Company, Beijing 100031, China
Yansheng Shi: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Shuainan Zhang: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Wei Wang: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Energies, 2024, vol. 17, issue 11, 1-12

Abstract: The power transformer is one of the most critical core devices for energy exchange in power systems, and its safe and stable operation is directly related to the reliability of the power grid. Partial discharge is the main cause of insulation degradation and failure of high-voltage electrical equipment. Online monitoring and accurate localization of partial discharge can provide information on the aging of power equipment, which is of great value for improving the safe operation and maintenance of the power grid. Internal dual partial discharge in transformer windings is a more complex type of fault. Since it is located inside the windings, the signal is attenuated and distorted, making it difficult for traditional monitoring methods to capture such partial discharge signal The Fabry–Perot optical fiber sensor is an ultrasonic detection method that can be built into the transformer interior. This sensor has high sensitivity and a small size, enabling flexible placement at different locations inside the transformer for precise partial discharge detection. Especially for the narrow space inside the high and low voltage windings, F–P sensors can form an array, utilizing the array’s directivity to locate the fault points. In this study, an ultrasonic detection system based on the F–P optical fiber sensor array was developed. The system utilizes a directional cross-localization algorithm based on the multiple signal classification (MUSIC) algorithm to accurately locate dual partial discharge sources. This partial discharge detection system was applied to a 35 kV single-phase transformer, enabling the localization of dual partial discharge sources within the high and low voltage windings. Combined with experimental results, this method exhibits high localization accuracy and is particularly suitable for detecting partial discharge phenomena that occur within or between transformer windings.

Keywords: ultrasonic signals of partial discharge; Fabry–Perot fiber optic sensor array; dual partial discharge localization; crossing location by direction finding (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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