Effect of sampling rate and sensor bandwidth on measured transient signals in LV AC and DC power systems

Yljon Seferi, Arshad, Mazheruddin H. Syed, Graeme Burt, Brian G. Stewart

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Abstract

Impulsive transients in power systems can stress the state of electrical insulation of equipment. Knowledge of signal characteristics is of paramount importance to accurately assess their impact on electrical insulation. This paper investigates
the effect of sampling rate and sensor bandwidth on capturing high-frequency transient disturbances and their characteristics in laboratory-scale LV AC and DC systems to increase the understanding of their impact on electrical insulation. Two measurement systems of different bandwidths and configurable sampling rates, up to 500 kS/s and up to 250 MS/s, have been used in parallel to capture and compare the high-frequency transient phenomenon in voltage signals following DC series electric arc faults and the AC output of a bi-directional power converter. The presence of unknown high-frequency transient signals of
magnitudes more than 10% and more than 600% with respect to the considered voltage of the system were found to exist in AC and DC recorded signals, respectively. Three dependency curves relating the maximum voltage, the rate-of-rise, and the pulse duration of the transients to different sampling rates are
experimentally established to provide an improved appreciation of transient characteristics and a better correlation of their impact on the electrical insulation systems.
Original languageEnglish
Number of pages5
Publication statusAccepted/In press - 1 Aug 2022
Event2022 IEEE International Workshop on Applied Measurements for Power Systems - University of Cagliari, Cagliari, Italy
Duration: 28 Sep 202230 Sep 2022
Conference number: 55790x
https://amps2022.ieee-ims.org/

Conference

Conference2022 IEEE International Workshop on Applied Measurements for Power Systems
Abbreviated titleAMPS 2022
Country/TerritoryItaly
CityCagliari
Period28/09/2230/09/22
Internet address

Keywords

  • power quality
  • data acquisition
  • impulsive transients
  • electrical insulation
  • dielectric breakdown
  • partial discharge
  • electric arc faults

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