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.
| Language | English |
|---|---|
| Title of host publication | 2012 IEEE PES Transmission and Distribution Conference and Exposition |
| Pages | 1-20 |
| Number of pages | 20 |
| DOIs | |
| Publication status | Published - 27 Aug 2012 |
| Event | 2012 IEEE PES Transmission and Distribution Conference and Exposition - Orlando, FL, United States Duration: 7 May 2012 → 10 May 2012 |
Conference
| Conference | 2012 IEEE PES Transmission and Distribution Conference and Exposition |
|---|---|
| Abbreviated title | T and D 2012 |
| Country | United States |
| City | Orlando, FL |
| Period | 7/05/12 → 10/05/12 |
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Keywords
- partial discharge
- electromagnetic inference
- time-domain analysis
- substation surveillance
- frequency-domain analysis
Cite this
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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 proceeding › Conference contribution book
TY - GEN
T1 - Substation surveillance using RFI and complementary EMI detection techniques
AU - Nesbitt, A.
AU - Stewart, B.G.
AU - McMeekin, S. G.
AU - Liebech-Lien, K.
AU - Kristiansen, H. O.
PY - 2012/8/27
Y1 - 2012/8/27
N2 - 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.
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.
KW - partial discharge
KW - electromagnetic inference
KW - time-domain analysis
KW - substation surveillance
KW - frequency-domain analysis
UR - http://www.scopus.com/inward/record.url?scp=84867946491&partnerID=8YFLogxK
U2 - 10.1109/TDC.2012.6281616
DO - 10.1109/TDC.2012.6281616
M3 - Conference contribution book
SN - 9781467319348
SP - 1
EP - 20
BT - 2012 IEEE PES Transmission and Distribution Conference and Exposition
ER -