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Localization for Dual Partial Discharge Sources in Transformer Oil Using Pressure-Balanced Fiber-Optic Ultrasonic Sensor Array
by
Zhang, Shuainan
, Liu, Feng
, Shi, Yansheng
, Wang, Wei
in
Acoustics
/ Algorithms
/ dual partial discharge sources detection
/ Electrical equipment
/ fault localization
/ Localization
/ Optics
/ partial discharge
/ pressure-balanced fiber-optic ultrasonic sensor
/ Sensors
/ Signal processing
2024
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Localization for Dual Partial Discharge Sources in Transformer Oil Using Pressure-Balanced Fiber-Optic Ultrasonic Sensor Array
by
Zhang, Shuainan
, Liu, Feng
, Shi, Yansheng
, Wang, Wei
in
Acoustics
/ Algorithms
/ dual partial discharge sources detection
/ Electrical equipment
/ fault localization
/ Localization
/ Optics
/ partial discharge
/ pressure-balanced fiber-optic ultrasonic sensor
/ Sensors
/ Signal processing
2024
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Localization for Dual Partial Discharge Sources in Transformer Oil Using Pressure-Balanced Fiber-Optic Ultrasonic Sensor Array
by
Zhang, Shuainan
, Liu, Feng
, Shi, Yansheng
, Wang, Wei
in
Acoustics
/ Algorithms
/ dual partial discharge sources detection
/ Electrical equipment
/ fault localization
/ Localization
/ Optics
/ partial discharge
/ pressure-balanced fiber-optic ultrasonic sensor
/ Sensors
/ Signal processing
2024
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Localization for Dual Partial Discharge Sources in Transformer Oil Using Pressure-Balanced Fiber-Optic Ultrasonic Sensor Array
Journal Article
Localization for Dual Partial Discharge Sources in Transformer Oil Using Pressure-Balanced Fiber-Optic Ultrasonic Sensor Array
2024
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Overview
The power transformer is one of the most crucial pieces of high-voltage equipment in the power system, and its stable operation is crucial to the reliability of power transmission. Partial discharge (PD) is a key factor leading to the degradation and failure of the insulation performance of power transformers. Therefore, online monitoring of partial discharge can not only obtain real-time information on the operating status of the equipment but also effectively predict the remaining service life of the transformer. Meanwhile, accurate localization of partial discharge sources can assist maintenance personnel in developing more precise and efficient maintenance plans, ensuring the stable operation of the power system. Dual partial discharge sources in transformer oil represent a more complex fault type, and piezoelectric transducers installed outside the transformer oil tank often fail to accurately capture such discharge waveforms. Additionally, the sensitivity of the built-in F-P sensors can decrease when installed deep within the oil tank due to the influence of oil pressure on its sensing diaphragm, resulting in an inability to accurately detect dual partial discharge sources in transformer oil. To address the impact of oil pressure on sensor sensitivity and achieve the detection of dual partial discharge sources under high-voltage conditions in transformers, this paper proposes an optical fiber ultrasonic sensor with a pressure-balancing structure. This sensor can adapt to changes in oil pressure environments inside transformers, has strong electromagnetic interference resistance, and can be installed deep within the oil tank to detect dual partial discharge sources. In this study, a dual PD detection system based on this sensor array is developed, employing a cross-positioning algorithm to achieve detection and localization of dual partial discharge sources in transformer oil. When applied to a 35 kV single-phase transformer for dual partial discharge source detection in different regions, the sensor array exhibits good sensitivity under high oil pressure conditions, enabling the detection and localization of dual partial discharge sources in oil and winding interturn without obstruction. For fault regions with obstructions, such as within the oil channel of the transformer winding, the sensor exhibits the capability to detect the discharge waveform stemming from dual partial discharge sources. Overall, the sensor demonstrates good sensitivity and directional clarity, providing effective detection of dual PD sources generated inside transformers.
Publisher
MDPI AG
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