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

Article


Ali, Z., Saleem, K., Brown, R., Christofides, N. and Dudley, S. 2022. Performance Analysis and Benchmarking of PLL-Driven Phasor Measurement Units for Renewable Energy Systems. Energies. 12 (5), p. 1867. https://doi.org/10.3390/en15051867
AuthorsAli, Z., Saleem, K., Brown, R., Christofides, N. and Dudley, S.
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.

JournalEnergies
Journal citation12 (5), p. 1867
ISSN1996-1073
Year2022
PublisherMDPI
Publisher's version
License
File Access Level
Anyone
Digital Object Identifier (DOI)https://doi.org/10.3390/en15051867
Publication dates
Online03 Mar 2022
Publication process dates
Accepted01 Mar 2022
Deposited12 Dec 2024
Copyright holder © 2022, The Authors
Permalink -

https://repository.uel.ac.uk/item/8yqq1

Download files

  • 18
    total views
  • 14
    total downloads
  • 8
    views this month
  • 8
    downloads this month

Export as

Related outputs

Multiobjective Optimized Smart Charge Controller for Electric Vehicle Applications
Ali, Z., Putrus, G., Marzband, M., Gholinejad, H., Saleem, K. and Subudhi, B. 2022. Multiobjective Optimized Smart Charge Controller for Electric Vehicle Applications. IEEE Transactions on Industry Applications. 58 (5), pp. 5602-5615. https://doi.org/10.1109/TIA.2022.3164999
A Single Phase Synchronization Technique for Grid Connected Energy Storage System Under Faulty Grid Conditions
Saleem, K., Ali, Z. and Mehran, K. 2021. A Single Phase Synchronization Technique for Grid Connected Energy Storage System Under Faulty Grid Conditions. IEEE Transactions on Power Electronics . 36 (10), pp. 12019-12032. https://doi.org/10.1109/TPEL.2021.3071418
Online reduced complexity parameter estimation technique for equivalent circuit model of lithium-ion battery
Saleem, K., Mehran, K. and Ali, Z. 2020. Online reduced complexity parameter estimation technique for equivalent circuit model of lithium-ion battery. Electric Power Systems Research. 185, p. 106356. https://doi.org/10.1016/j.epsr.2020.106356
Performance evaluation and benchmarking of PLL algorithms for grid-connected RES applications
Ali, Z., Christofides, N., K. Saleem,, Polycarpou, A. and Mehran, K. 2020. Performance evaluation and benchmarking of PLL algorithms for grid-connected RES applications. IET Renewable Power Generation. 14 (1), pp. 52-62. https://doi.org/10.1049/iet-rpg.2019.0434