Substation surveillance using RFI and complementary EMI detection techniques

A. Nesbitt, B.G. Stewart, S. G. McMeekin, K. Liebech-Lien, H. O. Kristiansen

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

The successful implementation of a substation asset management strategy depends heavily on predictive maintenance assessments with surveillance based techniques used to identify potential sites of degradation followed by more investigative and invasive quantitative techniques. The deployment of radio frequency interference (RFI) measurement can provide an efficient non-invasive surveillance technique to detect and locate partial discharges (PD) to individual high-voltage (HV) apparatus. This paper demonstrates the benefits of combining the assessment of RFI emissions with targeted deployment of other complementary non-invasive electromagnetic interference (EMI) detection techniques. This provides an increased level of confidence in the location, identification and assessment of severity of degradation and is of particular importance with complex HV apparatus such as transformers where the propagation paths for RFI are less well defined. Frequency sweep data and time-resolved traces acquired from substation surveillance scenarios are presented and compared with follow up assessments using complementary EMI couplers such as high frequency CTs (HFCT) and transient earth voltage (TEV) couplers. Key parameters that characterise RFI emissions in the frequency domain and in the time domain (e.g. RFI intensity and bandwidth, repetition rate) that provide a measure of severity of degradation and a means to classify or fingerprint suspect fault mechanisms, are correlated with those derived from measurements using other complementary PD detection techniques. The RFI surveillance technique followed by the deployment of complementary PD detection techniques is proven to be effective with a wide range of HV equipment to confidently characterise and trace electrical deterioration with a high degree of confidence. 

LanguageEnglish
Title of host publication2012 IEEE PES Transmission and Distribution Conference and Exposition
Pages1-20
Number of pages20
DOIs
Publication statusPublished - 27 Aug 2012
Event2012 IEEE PES Transmission and Distribution Conference and Exposition - Orlando, FL, United States
Duration: 7 May 201210 May 2012

Conference

Conference2012 IEEE PES Transmission and Distribution Conference and Exposition
Abbreviated titleT and D 2012
CountryUnited States
CityOrlando, FL
Period7/05/1210/05/12

Fingerprint

Signal interference
Electric potential
Degradation
Asset management
Partial discharges
Deterioration
Earth (planet)
Bandwidth

Keywords

  • partial discharge
  • electromagnetic inference
  • time-domain analysis
  • substation surveillance
  • frequency-domain analysis

Cite this

Nesbitt, A., Stewart, B. G., McMeekin, S. G., Liebech-Lien, K., & Kristiansen, H. O. (2012). Substation surveillance using RFI and complementary EMI detection techniques. In 2012 IEEE PES Transmission and Distribution Conference and Exposition (pp. 1-20). [6281616] https://doi.org/10.1109/TDC.2012.6281616
Nesbitt, A. ; Stewart, B.G. ; McMeekin, S. G. ; Liebech-Lien, K. ; Kristiansen, H. O. / Substation surveillance using RFI and complementary EMI detection techniques. 2012 IEEE PES Transmission and Distribution Conference and Exposition. 2012. pp. 1-20
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Nesbitt, A, Stewart, BG, McMeekin, SG, Liebech-Lien, K & Kristiansen, HO 2012, Substation surveillance using RFI and complementary EMI detection techniques. in 2012 IEEE PES Transmission and Distribution Conference and Exposition., 6281616, pp. 1-20, 2012 IEEE PES Transmission and Distribution Conference and Exposition, Orlando, FL, United States, 7/05/12. https://doi.org/10.1109/TDC.2012.6281616

Substation surveillance using RFI and complementary EMI detection techniques. / Nesbitt, A.; Stewart, B.G.; McMeekin, S. G.; Liebech-Lien, K.; Kristiansen, H. O.

2012 IEEE PES Transmission and Distribution Conference and Exposition. 2012. p. 1-20 6281616.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AB - The successful implementation of a substation asset management strategy depends heavily on predictive maintenance assessments with surveillance based techniques used to identify potential sites of degradation followed by more investigative and invasive quantitative techniques. The deployment of radio frequency interference (RFI) measurement can provide an efficient non-invasive surveillance technique to detect and locate partial discharges (PD) to individual high-voltage (HV) apparatus. This paper demonstrates the benefits of combining the assessment of RFI emissions with targeted deployment of other complementary non-invasive electromagnetic interference (EMI) detection techniques. This provides an increased level of confidence in the location, identification and assessment of severity of degradation and is of particular importance with complex HV apparatus such as transformers where the propagation paths for RFI are less well defined. Frequency sweep data and time-resolved traces acquired from substation surveillance scenarios are presented and compared with follow up assessments using complementary EMI couplers such as high frequency CTs (HFCT) and transient earth voltage (TEV) couplers. Key parameters that characterise RFI emissions in the frequency domain and in the time domain (e.g. RFI intensity and bandwidth, repetition rate) that provide a measure of severity of degradation and a means to classify or fingerprint suspect fault mechanisms, are correlated with those derived from measurements using other complementary PD detection techniques. The RFI surveillance technique followed by the deployment of complementary PD detection techniques is proven to be effective with a wide range of HV equipment to confidently characterise and trace electrical deterioration with a high degree of confidence. 

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Nesbitt A, Stewart BG, McMeekin SG, Liebech-Lien K, Kristiansen HO. Substation surveillance using RFI and complementary EMI detection techniques. In 2012 IEEE PES Transmission and Distribution Conference and Exposition. 2012. p. 1-20. 6281616 https://doi.org/10.1109/TDC.2012.6281616