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.
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 language | English |
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Number of pages | 5 |
Publication status | Accepted/In press - 1 Aug 2022 |
Event | 2022 IEEE International Workshop on Applied Measurements for Power Systems - University of Cagliari, Cagliari, Italy Duration: 28 Sep 2022 → 30 Sep 2022 Conference number: 55790x https://amps2022.ieee-ims.org/ |
Conference
Conference | 2022 IEEE International Workshop on Applied Measurements for Power Systems |
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Abbreviated title | AMPS 2022 |
Country/Territory | Italy |
City | Cagliari |
Period | 28/09/22 → 30/09/22 |
Internet address |
Keywords
- power quality
- data acquisition
- impulsive transients
- electrical insulation
- dielectric breakdown
- partial discharge
- electric arc faults
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