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The Design of a Low Cost Phasor Measurement Unit

Author

Listed:
  • Antonio Delle Femine

    (Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa (CE), Italy)

  • Daniele Gallo

    (Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa (CE), Italy)

  • Carmine Landi

    (Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa (CE), Italy)

  • Mario Luiso

    (Department of Engineering, University of Campania “Luigi Vanvitelli”, 81031 Aversa (CE), Italy)

Abstract

The widespread diffusion of Phasor Measurement Units (PMUs) is a becoming a need for the development of the “smartness” of power systems. However, PMU with accuracy compliant to the standard Institute of Electrical and Electronics Engineers (IEEE) C37.118.1-2011 and its amendment IEEE Std C37.118.1a-2014 have typically costs that constitute a brake for their diffusion. Therefore, in this paper, the design of a low-cost implementation of a PMU is presented. The low cost approach is followed in the design of all the building blocks of the PMU. A key feature of the presented approach is that the data acquisition, data processing and data communication are integrated in a single low cost microcontroller. The synchronization is obtained using a simple external Global Positioning System receiver, which does not provide a disciplined clock. The synchronization of sampling frequency, and thus of the measurement, to the Universal Time Coordinated, is obtained by means of a suitable signal processing technique. For this implementation, the Interpolated Discrete Fourier Transform has been used as the synchrophasor estimation algorithm. A thorough metrological characterization of the realized prototype in different test conditions proposed by the standards, using a high performance PMU calibrator, is also shown.

Suggested Citation

  • Antonio Delle Femine & Daniele Gallo & Carmine Landi & Mario Luiso, 2019. "The Design of a Low Cost Phasor Measurement Unit," Energies, MDPI, vol. 12(14), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2648-:d:247263
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    Citations

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    Cited by:

    1. Nikolaos-Antonios I. Livanos & Sami Hammal & Nikolaos Giamarelos & Vagelis Alifragkis & Constantinos S. Psomopoulos & Elias N. Zois, 2023. "OpenEdgePMU: An Open PMU Architecture with Edge Processing for Future Resilient Smart Grids," Energies, MDPI, vol. 16(6), pages 1-29, March.
    2. Malgorzata Binek & Andrzej Kanicki & Pawel Rozga, 2021. "Application of an Artificial Neural Network for Measurements of Synchrophasor Indicators in the Power System," Energies, MDPI, vol. 14(9), pages 1-14, April.
    3. Giovanni Artale & Giuseppe Caravello & Antonio Cataliotti & Valentina Cosentino & Dario Di Cara & Salvatore Guaiana & Ninh Nguyen Quang & Marco Palmeri & Nicola Panzavecchia & Giovanni Tinè, 2020. "A Virtual Tool for Load Flow Analysis in a Micro-Grid," Energies, MDPI, vol. 13(12), pages 1-26, June.
    4. David Schofield & Debashish Mohapatra & Harold R. Chamorro & Juan Manuel Roldan-Fernandez & Kouzou Abdellah & Francisco Gonzalez-Longatt, 2022. "Design and Implementation of Low-Cost Phasor Measurement Unit: PhasorsCatcher," Energies, MDPI, vol. 15(9), pages 1-27, April.

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