Research on the Characteristics of Local Discharge Ground Wave Sensors in New Energy Stations
There are many 35 kV cable lines in new energy stations, and the frequency of faults is also high. Cable faults are an important factor affecting the safe and stable operation of new energy. Partial discharge, as an early indicator of insulation degradation in power equipment, has been proven to be an effective fault warning information. Conducting partial discharge detection in distribution network lines can timely detect potential insulation defects or faults and provide new solutions to improve the level of distribution network operation and maintenance. Therefore, it is necessary to conduct research on the performance of partial discharge sensor materials, turns, and other characteristics of power equipment in new energy stations, and design a partial discharge detection device suitable for the characteristics of new energy stations. This device can effectively provide early warnings for partial discharge in new energy stations and is of great significance for the safe and stable operation of new energy stations. TEV sensor is a sensor used to detect the transient ground voltage generated during partial discharge of high-voltage equipment. When partial discharge occurs, pulsating voltage is induced on the surface of the ferromagnetic shell of high-voltage equipment. TEV sensors, as transient ground voltage couplers, can detect the waveform and amplitude of this pulsating voltage, providing a basis for judging and locating partial discharge in high-voltage equipment. Therefore, optimizing the performance design of TEV sensors can effectively improve the detection level of partial discharge.
Authors
- Zhanjun Tang (ORCID: https://orcid.org/0009-0003-3959-5101)
- Jielong Li (ORCID: https://orcid.org/0000-0002-4893-3171)
- Yujiang Li (ORCID: https://orcid.org/0000-0002-4970-9964)
- Peng Xie (ORCID: https://orcid.org/0000-0003-4270-8122)
- Tianle Chen (ORCID: https://orcid.org/0000-0003-1332-0399)
- Jinxiong Ma
Institutions
- Kunming University of Science and Technology (CN)
- Dali University (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/sges63808.2024.10824179
- Primary Topic
- Advanced Sensor and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00