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A Sensor System for Detecting and Localizing Partial Discharges in Power Transformers with Improved Immunity to
Petr Drexler1, Martin Čáp2, Pavel Fiala3
1Department of Theoretical and Experimental Electrical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, 616 00 Brno, Czech Republic. drexler@feec.vutbr.cz.
Sensors (Basel, Switzerland)
|March 1, 2019
Summary
This study introduces a radiofrequency system for detecting partial discharge activity in power plant transformers. The system effectively identifies and locates weak signals amidst strong electromagnetic interference during operation.
Area of Science:
- Electrical Engineering
- Power Systems Analysis
- Electromagnetic Compatibility
Background:
- Partial discharge (PD) activity in power transformers is a critical indicator of insulation degradation.
- Accurate diagnosis of PD is essential for preventing catastrophic failures in high-voltage equipment.
- Ambient electromagnetic interference poses a significant challenge for PD detection systems.
Purpose of the Study:
- To develop and validate a radiofrequency (RF) based system for diagnosing partial discharge activity in main power plant transformers.
- To implement novel signal detection and source localization methods to overcome electromagnetic disturbances.
- To demonstrate the system's effectiveness in real-world operational conditions.
Main Methods:
- Utilizing an external RF sensor for detecting and mitigating external impulse disturbances.
- Implementing advanced signal detection algorithms for weak PD signal identification.
- Employing signal source localization techniques for pinpointing PD origins.
- Conducting verification through artificial impulse signal injection and field testing.
Main Results:
- Successful detection and localization of partial discharge signals in a high-power transformer operating under full load.
- Demonstrated ability to distinguish desired PD signals from strong ambient electromagnetic interference.
- Validation of novel detection methods for weak signal acquisition and real-time visualization.
- Verification of the system's capability to perform diagnostics despite significant electromagnetic noise.
Conclusions:
- The developed RF diagnostic system is effective for detecting and localizing partial discharge activity in main power transformers.
- The proposed novel detection and localization methods significantly improve system performance in noisy environments.
- The system offers a viable solution for real-time, on-line monitoring and diagnosis of critical power infrastructure.
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