A new design of a test platform for testing multiple partial discharge sources

Journal Article (2018)
Author(s)

Armando Mor (TU Delft - DC systems, Energy conversion & Storage)

Luis Carlos Castro (TU Delft - DC systems, Energy conversion & Storage)

Daniel A. Harmsen (External organisation)

Fabio Muñoz (Universidad del Valle)

Research Group
DC systems, Energy conversion & Storage
Copyright
© 2018 A. R. Mor, L.C. Castro Heredia, D.A. Harmsen, F.A. Muñoz Muñoz
DOI related publication
https://doi.org/10.1016/j.ijepes.2017.07.013
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 A. R. Mor, L.C. Castro Heredia, D.A. Harmsen, F.A. Muñoz Muñoz
Research Group
DC systems, Energy conversion & Storage
Volume number
94
Pages (from-to)
374-384
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Abstract

Partial discharge (PD) measurements are an effective tool for insulation assessment of high-voltage (HV) equipment widely used in both HV laboratories and in field tests. This paper presents the design of a test platform for electrical detection of partial discharges that contribute to the understanding of the phenomena. The test set-up comprises a collection of electrodes for the production of artificial PD sources frequently found in HV equipment, such as positive corona, negative corona, surface discharges, internal discharges, floating component and free moving particle. The test set-up has been designed in such a way that the gaps and clearances can be adjusted to modify the discharge characteristics, e.g. the discharge inception voltage, amplitude, repetition rate, etc. Besides, the platform has a symmetrical and radial arrangement of the PD sources around the coupling capacitor of the PD measuring systems with contribute to reduce the effect of the measuring circuit on the measurements. Relevant characteristics of the presented design is that the sensing of the PD signals is done by a high frequency current transformer (HFCT) with a wide bandwidth and the acquisition of the signals by a digital oscilloscope. A software tool was designed for the purpose of processing of the digitalized signals which proved to be an excellent workbench for studying the performance of clustering techniques.