Managing Remote Online Partial Discharge Data

The volume of data produced by existing partial discharge monitoring systems is often too large for engineers to examine in detail, leading to data being ignored and useful indicators of health being missed. The case study reported in this paper recorded 21\thinspace839 events around an HVDC reactor over a six-day period. We estimate that it takes 1 min to check whether an event requires detailed study, leading to over two man-months of effort to locate important events in a dataset of this size. Additionally, online monitoring data are stored onsite, and may require an engineer's visit for collection. This paper presents an approach to remote partial discharge monitoring, supported by automated data interpretation and prioritization, which enables engineers to remotely find and download important data. Results from the case study are used to illustrate these concepts.

[1]  Magne Runde,et al.  Continuous monitoring of circuit breakers using vibration analysis , 2005 .

[2]  D.M. Staszesky,et al.  Advanced feeder automation is here , 2005, IEEE Power and Energy Magazine.

[3]  P.J. Moore,et al.  Partial discharge investigation of a power transformer using wireless wideband radio-frequency measurements , 2006, IEEE Transactions on Power Delivery.

[4]  Ira Rudowsky,et al.  Intelligent Agents , 2004, Commun. Assoc. Inf. Syst..

[5]  M.D. Judd,et al.  Partial discharge monitoring of power transformers using UHF sensors. Part I: sensors and signal interpretation , 2005, IEEE Electrical Insulation Magazine.

[6]  Q. H. Wu,et al.  An architecture for e-automation , 2003 .

[7]  Xingquan Huang,et al.  The feasibility of locating PD source in transformer using the UHF technology , 2004, The 17th Annual Meeting of the IEEE Lasers and Electro-Optics Society, 2004. LEOS 2004..

[8]  W.H. Tang,et al.  An evidential reasoning approach to transformer condition assessments , 2004, IEEE Transactions on Power Delivery.

[9]  Hitoshi Okubo,et al.  Insulation design and on-site testing method for a long distance, gas insulated transmission line (GIL) , 1998 .

[10]  Li Yang,et al.  Investigation of radiometric partial discharge detection for use in switched HVDC testing , 2006, 2006 IEEE Power Engineering Society General Meeting.

[11]  K. Feser,et al.  The application of ultra-high-frequency partial discharge measurements to gas-insulated substations , 1998 .

[12]  S.D.J. McArthur,et al.  The design of a multi-agent transformer condition monitoring system , 2004, IEEE Transactions on Power Systems.

[13]  M. Runde,et al.  Continuous monitoring of circuit breakers using vibration analysis , 2005, IEEE Transactions on Power Delivery.

[14]  N. de Kock,et al.  UHF PD detection in gas-insulated switchgear-suitability and sensitivity of the UHF method in comparison with the IEC 270 method , 1996 .

[15]  M.D. Judd,et al.  Partial discharge monitoring for power transformer using UHF sensors. Part 2: field experience , 2005, IEEE Electrical Insulation Magazine.

[16]  W. Boeck,et al.  Partial Discharge Detection Systems for GIS: Sensitivity Verification for the UHF Method and the Acoustic Method , 1999 .

[17]  S.D.J. McArthur,et al.  The practical implications of bringing a multi-agent transformer condition monitoring system on-line , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

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