Review on Partial Discharge Diagnostic Techniques for High Voltage Equipment in Power Systems

Ghulam Amjad Hussain, Waqar Hassan, Farhan Mahmood, Muhammad Shafiq, Habibur Rehman, John A. Kay

Research output: Contribution to journalReview articlepeer-review

26 Scopus citations

Abstract

In modern power systems, condition based monitoring and diagnosis is essential to ensure the effective and reliable operation of different high voltage equipment (HVE). Compared to other monitoring techniques, partial discharges (PD) measurement is considered as a key method for assessing the insulation health condition. The benefits of PD condition monitoring of HVE can be extended by proper detection, identification, and interpretation of PD signal. Among both online and offline PD monitoring techniques, online PD monitoring is a very promising technique that assists in robust monitoring system which reduces the power failure incidents in power system components. Therefore, to understand recent developments and trends in theory and in practice, it is necessary to establish a holistic analysis of current online PD monitoring techniques for HVE in power systems. This paper presents an intensive literature review of current online PD monitoring techniques used for different high voltage electric components in power system. Finally, a smart PD monitoring techniques based on wireless sensor board is proposed. The proposed smart PD monitoring framework may be used to correctly estimate the insulation degradation in HVE and enhance the overall performance of power systems.

Original languageEnglish
Pages (from-to)51382-51394
Number of pages13
JournalIEEE Access
Volume11
DOIs
StatePublished - 2023

Keywords

  • Detection methods
  • PD classification
  • PD monitoring
  • feature extraction
  • high voltage equipment (HVE)
  • online partial discharges (PD) measurement

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