281 / 2022-03-15 00:53:18
Characterization of partial discharge automatic processing functionalities by means of a GIS and cable system scale model
partial discharge,condition monitoring,Pattern Recognition,Small-scale,modeling method
摘要录用
Eduardo Arcones del Álamo / Universidad Politécnica de Madrid
Javier Ortego / Universidad Politecnica de Madrid;Ampacimon
Fernando Álvarez Gómez / Universidad Politecnica de Madrid
Fernando Garnacho Vecino / Universidad Politecnica de Madrid
It is a common fact that technology developers of partial discharge (PD) monitoring systems have difficulties to test new automatic functionalities or the improvements in the existing ones. This is because usually, complex laboratory setups or even real facilities in operation are required for the necessary repetitive measurements. Moreover, due to the stochastic phenomena of PD activity, the performance of controlled tests for comparison purposes in laboratory or real facilities, is not possible. In this paper, a solution for the characterization of PD automatic processing tools in a standardized way anywhere and anytime is presented. This solution is based on the implementation of a scale tests model designed to simulate two GIS substations connected to a three phase cable system. An analog signals generator is used for the generation of PD activity and noise conditions in a controlled way. The scale model together with the signal generator are useful for testing PD monitoring applications automatic functionalities. Technical aspects are considered to reproduce a real GIS - power cable facility. The presentation of various case studies shows the advantages of the procedure developed for the characterization of the automatic processing tools. Several tests are performed in the scale model to validate PD monitoring systems automatic functionalities such as sensitivity in the detection, noise rejection capability and defect location and identification. An appropriate comparison of different monitoring technologies is possible. The possibility to perform PD measurements in a controlled way is a requirement of interest for many developers and electrical companies.

 
重要日期
  • 会议日期

    09月25日

    2022

    09月29日

    2022

  • 08月15日 2022

    提前注册日期

  • 09月10日 2022

    报告提交截止日期

  • 11月10日 2022

    注册截止日期

  • 11月30日 2022

    初稿截稿日期

  • 11月30日 2022

    终稿截稿日期

主办单位
IEEE DEIS
承办单位
Chongqing University
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