Partial Discharge Measurement for Condition Assessment of High Voltage Cables in Power System

Power Distribution System Faults and Wildfires: Mechanisms and Prevention

“…Wu et al [89] proposed assessing the condition of high voltage XLPE cables through PD measurement using a high frequency current transformer through link boxes. These link boxes were used to facilitate on-site PD signal identification and they were placed in manholes since most of the overhead cables run along roadsides.…”

“…7 times overvoltage to detect and localize weak spots in cable insulation [87] Inclusion of an additional PD measuring unit at the end of the cable for testing long length of cables Two-sided measurement provided higher detection sensitivity when testing for long length of power cables [88] Monitored the entire feeder by installing integrated sensors at each critical location and a hybrid monitoring system was proposed Permanently installed sensor network collected data at constant time intervals and this mitigated the drawback of missing hard events on the components [29] Reviewed the PD diagnosis techniques considering both offline and online detection. Presented common signal denoising techniques Attenuation and dispersion, selection of the optimum position of the PD detection equipment and calibration of the detected signal were identified as main challenges [89] Assessing HV XLPE cables through PD measurement using high frequency current transformer through link boxes Phase resolved PD pattern was used to diagnose the insulation condition [90] Deep learning approach was implemented to develop a PD detection framework in combination with pulse activation maps Convolution neural network models provided improved detection results at the power line and phase levels…”

Non‐intrusive sensing method of the phasor of system voltage for partial discharge diagnostics

“…The PRPD is an analytical method that combines three parameters: discharge amplitude, discharge phase and the number of discharges. Different types of PDs have different characteristic statistical patterns based on phase domain analysis [2, 3]; therefore, the source of discharges can be identified by the PRPD [4].…”