Comparison between phase resolve partial discharge and pulse sequence analysis approaches using surface tracking data

Poovaneswaran, Umanantini (2022) Comparison between phase resolve partial discharge and pulse sequence analysis approaches using surface tracking data. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Partial discharge (PD) is one of the most common types of ageing processes in electrical insulation. PD detection is a defined method for determining the status of insulation in electrical assets like machines and power cables. PD in high-voltage (HV) insulating systems are caused by a variety of local faults, resulting in insulation deterioration and equipment life span reduction. It is critical to link the observable PD patterns to the parameters of the defect and, eventually, to establish the type of defect in order to ensure the dependable and long-term operation of HV equipment. The most popular representation of PDs is the phase-resolved partial discharge (PRPD) pattern. This classical approach often utilises the statistical features in representing the unique PRPD pattern of different types of PD source. Pulse sequence analysis (PSA) is another pattern recognition technique which is claimed to have more meaningful interpretation of PD phenomenon than PRPD. The key parameter of PSA is the change of electric field between consecutive PD pulses which is reflected in the change in voltage due to the excitation waveform. Both PRPD and PSA patterns can be plotted from the PD measurement of IEC 60270 technique. The key parameters for PRPD are the phase angle and the charge magnitude while for PSA are the occurrence voltage of consecutive PD pulses. Since the occurrence voltage of PD pulse in PSA is related to the phase angle of PRPD in the sinusoidal formula, this study therefore, aims to investigate the relationship between PRPD and PSA using PD data from the previous surface discharge experiments of Midel. The PRPD pattern form a sinusoidal waveform according to the quadrant of the phase angels and the resulting PSA pattern of each PRPD cluster will be traced and described. The outcome of this study will contribute to the knowledge of PD analysis and to known the relationship between the PRPD(phase and discharge) and PSA according to the cluster of pattern

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