This paper dealt with the measurement and analysis of partial discharge (PD) under high voltage direct current (HVDC) in SF6 gas. Electrode systems such as a protrusion on conductor (POC), a protrusion on enclosure (POE), a crack on epoxy plate and a free particle (FP) were fabricated to simulate the insulation defects. The analysis system was designed with a Time-Frequency (T-F) map algorithm programed based on Lab VIEW. This can arrange the acquired PD pulses into frequency and time domain. A HVDC power source is composed of a transformer (220 V/50 kV), a diode (100 kV) and a capacitor (50 kV, 0.5 μF). The gap between the electrodes is 3 mm, and the SF6 gas was set at 5 bar. PD pulses were detected by a 50 Ω non-inductive resistor. In the analysis, PD pulses were distributed below 0.5 MHz and 20 ns ∼ 35 ns for the POC, 0.7 MHz ∼ 1.7 MHz, below 0.6 MHz and 10 ns ∼ 40 ns and 60 ns ∼125 ns for the POE, below 0.1 MHz and 135 ns ∼ 215 ns for the crack, and below 1.6 MHz and 250 ns for the FP.

Citations

• Identification of Partial Discharge Defect Detection in Cast-Resin Power Transformers Using Back-Propagation Algorithm
  Sung-Wook Kim
  Journal of information and communication convergence engineering.2024; 22(3): 231.     CrossRef