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Directions of Application of Phasor Measurement Units for Control and Monitoring of Modern Power Systems: A State-of-the-Art Review

Author

Listed:
  • Andrey Pazderin

    (Department of Automated Electrical Systems, Ural Federal University, 620002 Yekaterinburg, Russia)

  • Inga Zicmane

    (Faculty of Electrical and Environmental Engineering, Riga Technical University, 1048 Riga, Latvia)

  • Mihail Senyuk

    (Department of Automated Electrical Systems, Ural Federal University, 620002 Yekaterinburg, Russia)

  • Pavel Gubin

    (Department of Automated Electrical Systems, Ural Federal University, 620002 Yekaterinburg, Russia)

  • Ilya Polyakov

    (Department of Automated Electrical Systems, Ural Federal University, 620002 Yekaterinburg, Russia)

  • Nikita Mukhlynin

    (Department of Automated Electrical Systems, Ural Federal University, 620002 Yekaterinburg, Russia)

  • Murodbek Safaraliev

    (Department of Automated Electrical Systems, Ural Federal University, 620002 Yekaterinburg, Russia)

  • Firuz Kamalov

    (Department of Electrical Engineering, Canadian University Dubai, Dubai 117781, United Arab Emirates)

Abstract

The development of modern power systems is directly related to changes in the traditional principles of management, planning, and monitoring of electrical modes. The mass introduction of renewable energy sources and control devices based on power electronics components contributes to changing the nature of the flow of transient and quasi-established electrical modes. In this area, the problem arises of conducting a more accurate and rapid assessment of the parameters of the electrical regime using synchronized vector measurement devices. The paper presents an extensive meta-analysis of the modern applications of phasor measurement units (PMUs) for monitoring, emergency management and protection of power systems. As a result, promising research directions, the advantages and disadvantages of the existing approaches to emergency management, condition assessment, and relay protection based on PMUs are identified.

Suggested Citation

  • Andrey Pazderin & Inga Zicmane & Mihail Senyuk & Pavel Gubin & Ilya Polyakov & Nikita Mukhlynin & Murodbek Safaraliev & Firuz Kamalov, 2023. "Directions of Application of Phasor Measurement Units for Control and Monitoring of Modern Power Systems: A State-of-the-Art Review," Energies, MDPI, vol. 16(17), pages 1-43, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6203-:d:1225864
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    References listed on IDEAS

    as
    1. Mihail Senyuk & Khairan Rajab & Murodbek Safaraliev & Firuz Kamalov, 2023. "Evaluation of the Fast Synchrophasors Estimation Algorithm Based on Physical Signals," Mathematics, MDPI, vol. 11(2), pages 1-16, January.
    2. Mihail Senyuk & Murodbek Safaraliev & Firuz Kamalov & Hana Sulieman, 2023. "Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology," Mathematics, MDPI, vol. 11(3), pages 1-15, January.
    3. Yi Tang & Feng Li & Chenyi Zheng & Qi Wang & Yingjun Wu, 2018. "PMU Measurement-Based Intelligent Strategy for Power System Controlled Islanding," Energies, MDPI, vol. 11(1), pages 1-15, January.
    4. Igor Ivanković & Igor Kuzle & Ninoslav Holjevac, 2017. "Wide Area Information-Based Transmission System Centralized Out-of-Step Protection Scheme," Energies, MDPI, vol. 10(5), pages 1-28, May.
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    Cited by:

    1. Mihail Senyuk & Svetlana Beryozkina & Murodbek Safaraliev & Andrey Pazderin & Ismoil Odinaev & Viktor Klassen & Alena Savosina & Firuz Kamalov, 2024. "Bulk Power Systems Emergency Control Based on Machine Learning Algorithms and Phasor Measurement Units Data: A State-of-the-Art Review," Energies, MDPI, vol. 17(4), pages 1-33, February.

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