Detection of online PD signals in XLPE cables using the Bhattacharyya distance

Abstract

Partial discharge (PD) signal detection can be used for insulation monitoring of power system equipment.Online PD detection as a main task of insulation monitoring for different power system equipment is a difficult procedure when environmental noise is taken into account. This paper proposes a new scheme based on the Bhattacharyya distance approach with the main goal of detecting the PD signals in cross-linked polyethylene cables. The proposed method, as a preprocessing tool, can be used for detection of PD signals in a noisy environment. The simplicity and the accuracy of the Bhattacharyya distance approach are the 2 main advantages that grab the attention of the authors in introducing this technique for detection of PD signals in different high-voltage power devices. In order to remove noises between intervals of measurement of PD signals, other simple signal processing techniques should be used as postprocessing tools.Detection of PD signals in a noisy environment, i.e. finding the times of PD occurrences, is the most important and difficult stage in online PD signal monitoring. The Bhattacharyya distance method is a simple approach that can be used for detection of short duration time signals such as PDs.

Partial Discharges Classification Methods in XLPE Cable: A Review

“…Sensitivity is expressed in unit millivolts (mV) or apparent charge in picocoulombs (pC) with a minimum magnitude [9]. Ghaedi et al [40] mentioned that different parameters, such as currents, voltages or temperatures, could be monitored in the on-line mode detection, leading to quick and accurate fault detection.…”

“…The method is simply built using the theoretical distance between 2 Gaussian distributions with PD signal extracted accurately in noisy signal with high quality [40].…”

“…The other noises that occur near the PDs, such as non-Gaussian, random, and impulse noises like PDs, cannot be removed by this method and need an additional technique to distinguish all noises from the PD pulses [40]. ~200 MHz…”

“…Obviously, on-line techniques are the best solution for PD detection activities. In the off-line mode, PDs may occur between intervals as the detection of PDs involves discrete intervals [40].…”

Comparison of On-Line Partial Discharge Detection Techniques for High Voltage Power Cable Joints and Terminations

“…In other studies researchers discovered that the PD detection with online techniques needs the sensors' sensitivity with wide bandwidth, since PD signals can be distorted if the bandwidth is narrow (Fukunaga et al, 1992;Mulroy et al, 2012;Wei et al, 2000). Moreover, other parameters like voltages, currents and temperature can be monitored on-line to determine a defected portion of the cable (Abdullah et al, 2020(Abdullah et al, , 2021Ghaedi et al, 2016). This paper presents a comparative analysis on location, quantification and detection of three potential on-line techniques to detect PD activity within the cable joint.…”