Experience with UHF PD detection in GIS substations

Schichler, Uwe; Gorablenkow, J.

doi:10.1109/icpadm.2000.875687

Cited by 9 publications

References 1 publication

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Development and application of a novel partial discharge on-line monitoring system for GIS

Chen

Xie

Liu

et al.

Proceedings Electrical Insulation Conference and Electrical Manufacturing Expo, 2005.

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Different defects in gas insulation substation (GIS) cause several types of partial discharge (PD). A novel on-line PD monitoring technique for GIS is described in this paper. An external sensor is adopted to detect the PD signal and has a wide frequency band. Two kinds of measurement method are used for PD signal acquisition, and high performance hardware units are also employed in order to reflect the true PD characteristics. Based on the idea of combining statistical analysis and high frequency analysis, the analysis level is improved. The developed PD on-line monitoring system has been operating at one IlOkV GIS substaton. The results show that the system is effective.

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Development and application of a novel partial discharge on-line monitoring system for GIS

Chen

Xie

Liu

et al.

Proceedings Electrical Insulation Conference and Electrical Manufacturing Expo, 2005.

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Diagnosis potential of different partial discharge features of diverse PD defects in N/sub 2//SF/sub 6/mixtures

Aschenbrenner

Kranz

Proceedings of the 7th International Conference on Properties and Applications of Dielectric Materials (Cat. No.03CH37417)

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The automated partial discharge diagnosis is an universal method to identify critical insulation conditions of electrical equipment. The diagnosis process needs significant information about the PD source by measuring the key values of the continuous PD activity, the so called Phase Resolved PD Pulse Sequence. From the information of such a measurement plenty of features can be calculated, which should distinguish the different defect types. This contribution discusses the main question: which type of PD features can distinguish the different PD defect types better than the other PD features? Therefore three different PD feature extraction methods: the phase position analysis, the voltage gradient and the voltage difference of consecutive pulses were tested with different PD defect types in GIS and GIL. In an automated diagnosis process all three feature extraction methods are combined with an L2 classification algorithm to calculate the diagnosis result. The question is discussed if a reference data base has to he adapted. Preliminiuy results have shown, that the performance of the feature extraction methods is strongly depending on the type of PD defect but also influenced by the gas mixture percentage.

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The influence of relevant noise sources on the reliability of automated PD defect identification in GIS using UHF measurement techniques

Aschenbrenner

Kranz

2005

Proceedings of 2005 International Symposium on Electrical Insulating Materials, 2005. (ISEIM 2005).

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To ensure a reliable cnergy supply, the evaluation of the insulation condition of key components is a basic need. Today automated partial discharge diagnosis and monitoring systems are able to assess that information. However, also the PD diagnosis has to be reliable to avoid cost intensive misjudgments, even under noisy conditions on-site, This contribution examines the influences of different noise sources on the efficiency and reIiability of automated PD defect identification. The different noise sources are investigated to deduce minimum requirements for UHF measurements under noisy conditions to enable an expert independent defect identification. These investigations consider the influence of noise on relevant PD features and diagnostic tools. The enquiries comprise periodic noise sources e.g. WLAN, Bluetooth or mobile and DECT phones. All these disturbances emit signals in the UHF band, which is used for PD-detection. In the lower frequency range the GIS compartment works as a good electric shield, bur small apertures (e.g. inspection windows) can open any compartment for UHF interference.

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Experience with UHF PD detection in GIS substations

Cited by 9 publications

References 1 publication

Development and application of a novel partial discharge on-line monitoring system for GIS

Development and application of a novel partial discharge on-line monitoring system for GIS

Diagnosis potential of different partial discharge features of diverse PD defects in N/sub 2//SF/sub 6/mixtures

The influence of relevant noise sources on the reliability of automated PD defect identification in GIS using UHF measurement techniques

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