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Insulator Partial Discharge Localization Based on Improved Wavelet Packet Threshold Denoising and Gxx-β Generalized
Hongxin Ji1, Zijian Tang1, Chao Zheng1
1School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Accurate partial discharge (PD) source localization in power systems is improved using wavelet packet denoising and a novel Gxx-β algorithm. This method enhances signal quality and time difference estimation, achieving high localization accuracy for engineering applications.
Area of Science:
- Electrical Engineering
- Signal Processing
- Power Systems
Background:
- Partial discharge (PD) degrades insulation and can cause power system failure.
- Accurate PD source localization is challenging due to significant field noise interference.
Purpose of the Study:
- To propose a 3D spatial localization method for PD sources using a four-element ultra-high-frequency (UHF) array.
- To enhance PD signal denoising and time-of-arrival estimation for improved localization accuracy.
Main Methods:
- Wavelet packet decomposition and an improved threshold function for PD signal denoising.
- Gxx-β generalized cross-correlation algorithm with an improved weighting function for time difference calculation.
- Analysis of sensor array configurations and PD source positions for optimal localization.
Main Results:
- The improved wavelet packet denoising effectively separates PD signals from noise, increasing SNR with low distortion.
- The enhanced Gxx-β weighting function significantly improves the accuracy of time difference estimation between UHF sensors.
- The proposed method achieved a relative localization error of 3.46% and an absolute error within 6 cm.
Conclusions:
- The developed method offers effective PD source localization in noisy environments.
- The combination of advanced denoising and cross-correlation algorithms meets engineering application requirements for accuracy and reliability.
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