Measurement and Analysis of Partial Discharge using an Ultra-High Frequency Sensor for Gas Insulated Structures

Although the gas insulated structures have a high degree of reliability, the unavoidable defects are primary reason of their failures. Partial discharge (PD) has been regarded as an effective indication for condition monitoring and diagnosis of gas insulated switchgears (GISs) to ensure their reliable and stable operation. Among various PD detection methods, the ultra-high frequency (UHF) technique has the advantages of on-line motoring and defect classification. In this paper, there are presented 7 types of artificial electrode systems fabricated for simulation of real insulation defects in gas insulated structures. A real-time measurement system was developed to acquire defect patterns in a form of phase-resolve partial discharge (PRPD) intensity graph, using a UHF sensor. Further, the discharge distribution and statistical characteristics were extracted for defect identification using a neural network algorithm. In addition, a conversion experiment was proposed by detecting the PD pulse simultaneously using a non-induction resistor and a UHF sensor. A relationship between the magnitude of UHF signal and the amplitude of apparent charge was established, which was used for evaluation of PD using the UHF sensor.

[1]  Abderrahmane Haddad,et al.  Advances in High Voltage Engineering , 2004 .

[2]  Nor Asiah Muhamad,et al.  Dissolved gas analysis for common transformer faults in soy seed-based oil , 2011 .

[3]  Sung-wook Kim,et al.  New methods of DGA diagnosis using IEC TC 10 and related databases Part 1: application of gas-ratio combinations , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.

[4]  F. H. Kreuger,et al.  Partial Discharge Detection in High Voltage Equipment , 1990 .

[5]  R. Bartnikas,et al.  Trends in partial discharge pattern classification: a survey , 2005, IEEE Transactions on Dielectrics and Electrical Insulation.

[6]  Scott G. McMeekin,et al.  Application of an ensemble neural network for classifying partial discharge patterns , 2014 .

[7]  Shi Zhi-xia.  FEATURE OF NEW STANDARD IEC 60270 FOR PARTIAL DISCHARGE MEASUREMENT AND ITS INFLUENCE ON PD MEASURING ACTIVITY , 2001 .

[8]  J Tang,et al.  Partial discharge location based on time difference of energy accumulation curve of multiple signals , 2011 .

[9]  Masayuki Hikita,et al.  New aspects of UHF PD diagnostics on gas-insulated systems , 2014, IEEE Transactions on Dielectrics and Electrical Insulation.

[10]  Paul Gill,et al.  Electrical Power Equipment Maintenance and Testing , 1997 .

[11]  H.M. Ryan.  High Voltage Engineering and Testing , 1995, IEEE Power Engineering Review.

[12]  Gyung-Suk Kil,et al.  Comparison of Partial Discharge Characteristics in SF 6 Gas Under AC and DC , 2015 .

[13]  V. Rees,et al.  PD measurements on GIS of different designs by non-conventional UHF sensors , 2000 .

[14]  Arsalan Hekmati.  A novel acoustic method of partial discharge allocation considering structure-borne waves , 2016 .

[15]  Armin Schnettler,et al.  End of life estimation and optimisation of maintenance of HV switchgear and GIS substations , 2012 .

[16]  Zhe Li,et al.  Research on a practical de-noising method and the characterization of partial discharge UHF signals , 2014, IEEE Transactions on Dielectrics and Electrical Insulation.

[17]  K. Raja,et al.  Recognition of discharge sources using UHF PD signatures , 2002 .

[18]  Hai-Bao Mu,et al.  Classification and separation of partial discharge ultra-high-frequency signals in a 252 kV gas insulated substation by using cumulative energy technique , 2016 .

[19]  S. Tenbohlen,et al.  Risk assessment on defects in GIS based on PD diagnostics , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.

[20]  Josef Vedral,et al.  Signal Processing in Partial Discharge Measurement , 2010 .