IEEE Access (Jan 2021)

A Review of Knowledge-Based Defect Identification via PRPD Patterns in High Voltage Apparatus

  • Tohid Shahsavarian,
  • Yue Pan,
  • Zhousheng Zhang,
  • Cheng Pan,
  • Hadi Naderiallaf,
  • Jim Guo,
  • Chuanyang Li,
  • Yang Cao

DOI
https://doi.org/10.1109/ACCESS.2021.3082858
Journal volume & issue
Vol. 9
pp. 77705 – 77728

Abstract

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Partial discharge (PD) as one of well-known signatures of defects in the insulation system of high voltage equipment has been studied over eight decades. It is of a great interest to power grid operators and owners to identify and distinguish local weak spots in insulation system of the key components of power system by using the obtained PD information to make timely decision thus to avoid any unexpected failures in the system. This article reviews the research progress of PD in high voltage apparatus, including motors and generators, cables, transformers and gas insulated equipment, with attempts to assess the severity of different types of PD initiating defects as well as key PD features that can be selected for classifying defects. Experimental and on-site test results for each type of discharge and defect associated are summarized and discussed. Also, development of these defects during operation of equipment caused by changes in physical and chemical parameters of defect and/or insulation, and its impact on phase-resolved PD pattern variation are thoroughly explained. It is expected that this paper can provide a comprehensive guideline for PD data analysis of available PD information extracted by conventional PD acquisition instruments for both engineers and asset managers of high voltage apparatus.

Keywords