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Performance Analysis and Benchmarking of PLL-Driven Phasor Measurement Units for Renewable Energy Systems

Author

Listed:
  • Zunaib Ali

    (School of Engineering, London South Bank University, London SE1 0AA, UK)

  • Komal Saleem

    (School of Engineering, London South Bank University, London SE1 0AA, UK
    School of Electronic Engineering and Computer Science, Queen Mary University of London, London E1 4NS, UK)

  • Robert Brown

    (School of Engineering, London South Bank University, London SE1 0AA, UK)

  • Nicholas Christofides

    (Department of Electrical Engineering, Computer Engineering and Informatics, Frederick University, Nicosia 1036, Cyprus)

  • Sandra Dudley

    (School of Engineering, London South Bank University, London SE1 0AA, UK)

Abstract

Phasor measurement units (PMUs) are a key part of electrical power systems, providing the dynamic monitoring and control of electrical units and impacting overall operation and synchronization of a network if not properly designed. This paper investigates the use of a phase-locked loop (PLL)-based algorithm for PMUs (to accurately find the magnitude, phase, and frequency) in a three-phase system. Various PLLs are reported in the literature, ranging from the very basic to advanced, capable of dealing with normal and abnormal grid behavior and mainly used for the control of grid-connected converters. In this paper, a number of PLLs were utilized to perform PMU functions, and a benchmarking study has been investigated to analyze the developed PLL-driven PMUs under various grid conditions (such as unbalanced faults, harmonics, and frequency variations). The simulation and experimental results were provided to support the performance capabilities and suggested limitations. In addition, the best PMU in benchmarking was used in the Kundur’s two-area system to show the significance of PMUs in a power system.

Suggested Citation

  • Zunaib Ali & Komal Saleem & Robert Brown & Nicholas Christofides & Sandra Dudley, 2022. "Performance Analysis and Benchmarking of PLL-Driven Phasor Measurement Units for Renewable Energy Systems," Energies, MDPI, vol. 15(5), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1867-:d:763320
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    References listed on IDEAS

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    1. Eleftherios O. Kontis & Georgios A. Barzegkar-Ntovom & Konstantinos A. Staios & Theofilos A. Papadopoulos & Grigoris K. Papagiannis, 2019. "A Toolbox for Analyzing and Testing Mode Identification Techniques and Network Equivalent Models," Energies, MDPI, vol. 12(13), pages 1-19, July.
    2. Mojgan Hojabri & Ulrich Dersch & Antonios Papaemmanouil & Peter Bosshart, 2019. "A Comprehensive Survey on Phasor Measurement Unit Applications in Distribution Systems," Energies, MDPI, vol. 12(23), pages 1-23, November.
    3. Ali, Zunaib & Christofides, Nicholas & Hadjidemetriou, Lenos & Kyriakides, Elias & Yang, Yongheng & Blaabjerg, Frede, 2018. "Three-phase phase-locked loop synchronization algorithms for grid-connected renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 434-452.
    4. Dey, Maitreyee & Rana, Soumya Prakash & Simmons, Clarke V. & Dudley, Sandra, 2021. "Solar farm voltage anomaly detection using high-resolution μPMU data-driven unsupervised machine learning," Applied Energy, Elsevier, vol. 303(C).
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