PD Location and Interference Suppression Method of Power Cable Based on Cross-Correlation
This paper proposes a novel partial discharge (PD) identification and location method based on cross-correlation. The technique aims to solve the problem of weak signal identification and interference suppression. Taking advantage of the characteristics that the time axis of PD pulses at both ends of the cable is symmetrical and the interference signal is asymmetric, the cross-correlation computation is carried out through the alignment of reference pulses to suppress the interference effects such as corona. In calculating the basis PD pulse time difference, the synchronous pulse that is actively injected is used to shorten the data time window and reduce the influence of noise. The accurate time difference is extracted through generalized cross-correlation (GCC). In this paper, the above methods are verified by simulation and experiment. Simulation and computer analysis have been used to test the suggested approach for identifying power cable attenuation. By enhancing the signal-to-noise ratio (SNR) from 28[Formula: see text]dB to 47[Formula: see text]dB, the technique reduces the impacts of cable attenuation. Its ability to precisely locate PD sources within a 5[Formula: see text]m error margin, improve weak PD signal detection, and reduce pulse interference makes it a dependable option for practical uses. The analysis results show that the interference can be suppressed and the weak signal recognition ability can be improved through multiple correlation operations, which lays the foundation for accurate PD location.
Authors
- Dong Chen
- Ningming Guo (ORCID: https://orcid.org/0000-0002-2510-8558)
- Zhongkui Feng (ORCID: https://orcid.org/0009-0000-2723-4307)
Institutions
- North China Electric Power University (CN)
- NARI Group (China) (CN)
Publication Details
- Journal
- International Journal of High Speed Electronics and Systems
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1142/s0129156425403158
- Citations
- 1
- Primary Topic
- Power Line Communications and Noise
- Type
- article
- Field-Weighted Citation Impact
- 0.73