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Study on the Effect of Sampling Frequency on Power Quality Parameters in a Real Low-Voltage DC Microgrid

Author

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  • Juan J. Pérez-Aragüés

    (CIRCE Technology Centre, 50018 Zaragoza, Spain
    These authors contributed equally to this work.)

  • Miguel A. Oliván

    (CIRCE Technology Centre, 50018 Zaragoza, Spain
    These authors contributed equally to this work.)

Abstract

In recent years, DC grids have gained traction, and several proposals regarding measuring strategies and several Power Quality (PQ) parameters have been defined to be used in such networks that differ from traditional AC power grids. As a complement to all this preliminary work, this study on the effect of modifying the sampling frequency on some of those parameters has been conducted. For time series evaluation of mean and RMS voltage values, the Dynamic Time Warping (DTW) algorithm has been used. Additionally, the consequence of varying the sampling rate in voltage event detection has also been analysed. As a result, relevant advice regarding sampling frequency is presented in this paper for an effective and optimum evaluation of RMS or mean voltage values and its implementation in detecting voltage events (dips or swells). At least for the parameters in the monitored DC microgrid, a clue for the minimum sampling rate that guarantees accurate measurements is found.

Suggested Citation

  • Juan J. Pérez-Aragüés & Miguel A. Oliván, 2025. "Study on the Effect of Sampling Frequency on Power Quality Parameters in a Real Low-Voltage DC Microgrid," Energies, MDPI, vol. 18(15), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:15:p:4075-:d:1714892
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    References listed on IDEAS

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    1. Van den Broeck, Giel & Stuyts, Jeroen & Driesen, Johan, 2018. "A critical review of power quality standards and definitions applied to DC microgrids," Applied Energy, Elsevier, vol. 229(C), pages 281-288.
    2. Giorgino, Toni, 2009. "Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i07).
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