Design and Implementation of Partial Discharge Acquisition System Based on FPGA
DOI:
https://doi.org/10.54097/6qd3p152Keywords:
Partial discharge; FPGA; Ultrasonic.Abstract
This paper designs and implements a FPGA-based partial discharge signal acquisition system based on the needs and challenges of partial discharge detection technology. Partial discharge is an early warning signal of insulation failure of power equipment. The real-time and accuracy of detection are crucial to ensure the stability of the smart distribution network. The advantage of ultrasonic detection method is that it has strong anti-electromagnetic interference ability, especially in a strong electromagnetic environment, it can provide stable detection results. The hardware design includes ultrasonic receiving module, signal conditioning circuit, signal acquisition circuit, and control and signal processing circuit. The ultrasonic module uses a 40kHz sensor to receive signals, the conditioning circuit realizes envelope detection through AD8310, and the data acquisition is completed by the high sampling rate 3PA1030 ADC. The control part is based on Xilinx Artix-7 FPGA design, integrating data caching, transmission and clock management functions. The software part adopts a top-down design method to construct signal reception and transmission, module configuration, data acquisition and transmission processes to ensure the functional integrity and data stability of the system. Experimental verification shows that the system can accurately capture and process partial discharge signals, and the test results meet the design expectations, with high reliability and practicality. The successful implementation of this system provides effective technical support for the application and promotion of partial discharge detection technology, and also lays the foundation for real-time monitoring and fault diagnosis of smart distribution network equipment.
Downloads
References
[1] Yuan Gang. Research on partial discharge detection method of high-voltage switchgear based on ultrasonic wave [D]. Shenyang Agricultural University, 2022. DOI:10.27327/d.cnki.gshnu.2022.000137.
[2] Lin Fuhai. Research and application of partial discharge detection of switchgear and GIS equipment based on ultrasonic and UHF technology[D]. North China Electric Power University, 2018.
[3] Standard I E C. High-voltage test techniques: partial discharge measurements[J]. IEC-60270, 2000: 13-31.
[4] Wang Y, Gong J, Ye J, et al. Laboratory Calibration of HFCT Partial Discharge Detection Systems[C]//2021 IEEE 4th International Electrical and Energy Conference (CIEEC). IEEE, 2021: 1-4.
[5] Li Dajian, Liang Jizhong, Bu Kewei, et al. Ultrasonic detection of partial discharge of typical defects in GIS[J]. High Voltage Apparatus, 2009, 45(1): 72-75.
[6] Cai Junyi. Research on ultrasonic positioning method of partial discharge source in transformer[D]. Southwest Jiaotong University, 2021. DOI: 10.27414/d.cnki.gxnju.2021.003237.
[7] Wei Yongjin. Research on partial discharge positioning method of high-voltage switchgear based on ultrasonic waves [D]. Shenyang Agricultural University, 2023.DOI:10.27327/d.cnki.gshnu.2023.000453.
[8] Yu Yungang. Research and application of ultrasonic and ultra-high frequency methods in GIS partial discharge detection[D]. North China Electric Power University, 2015.
[9] Ilkhechi H D, Samimi M H. Applications of the acoustic method in partial discharge measurement: A review[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2021, 28(1): 42-51.
[10] Tenbohlen S, Denissov D, Hoek S M, et al. Partial discharge measurement in the ultra high frequency (UHF) range[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2008, 15(6): 1544-1552.
[11] Han X, Li J, Zhang L, et al. A novel PD detection technique for use in GIS based on a combination of UHF and optical sensors[J]. IEEE Transactions on Instrumentation and Measurement, 2018, 68(8): 2890-2897.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Academic Journal of Science and Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.








