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Detection of multiple partial discharge faults in switchgear and power cables

  • Ghulam Amjad Hussain
  • , Detlef Hummes
  • , Muhammad Shafiq
  • , Madia Safdar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Partial Discharge (PD) measurements are considered as the early detection of insulation degradation in power system equipment. In switchgear and power cables, multiple PD faults may exist, which make the detection and location of such incipient faults challenging. This paper deals with identification of multiple PD faults by a hybrid detection technique, by combining conventional and unconventional measurement methods.Unconventional PD measurements rely on detection of physical emissions due to such faults, e.g. detection of radio frequency (RF) electromagnetic (EM) fields in the vicinity of PD activity, ultrasonic waves, optical emissions and heat produced by the PD, whereas the conventional measurement methods are based on detection of high frequency current and voltage, superimposed on the power frequency current and voltage.In this paper, the apparent charge of PD events is calculated by using conventional measurement technique and EM signal energy is calculated based on unconventional method. The high frequency electric field was measured using a D-dot sensor. The comparison between the two parameters show that a second degree polynomial relation exists between the EM energy and apparent charge. The scatter plots between the two variables show a number of patterns due to the number of PD faults. Therefore, the detection of multiple faults is possible.

Original languageEnglish
Title of host publication2019 IEEE Texas Power and Energy Conference, TPEC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538692844
DOIs
StatePublished - 6 Mar 2019
Event2019 IEEE Texas Power and Energy Conference, TPEC 2019 - College Station, United States
Duration: 7 Feb 20198 Feb 2019

Publication series

Name2019 IEEE Texas Power and Energy Conference, TPEC 2019

Conference

Conference2019 IEEE Texas Power and Energy Conference, TPEC 2019
Country/TerritoryUnited States
CityCollege Station
Period7/02/198/02/19

Keywords

  • Partial discharge
  • condition monitoring
  • non-intrusive sensors and pattern classification
  • switchgear

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