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PMU’s Behavior with Flicker-Generating Voltage Fluctuations: An Experimental Analysis

Author

Listed:
  • Paolo Castello

    (Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy)

  • Carlo Muscas

    (Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy)

  • Paolo Attilio Pegoraro

    (Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy)

  • Sara Sulis

    (Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy)

Abstract

Phasor measurement units (PMUs), which are the key components of a synchrophasor-based wide area monitoring system (WAMS), were historically conceived for transmission networks. The current trend to extend the benefits of the synchrophasor technology to distribution networks requires the PMU to also provide trustworthy information in the presence of signals that can occur in a typical distribution grid, including the presence of severe power quality (PQ) issues. In this framework, this paper experimentally investigates the performance of PMUs in the presence of one of the most important PQ phenomena, namely the presence of voltage fluctuations that generate the disturbance commonly known as flicker. The experimental tests are based on an ad-hoc high-accuracy measurement setup, where the devices under test are considered as “black boxes” to be characterized in the presence of the relevant signals. Two simple indices are introduced for the comparison among the different tested PMUs. The results of the investigation highlight possible critical situations in the interpretation of the measured values and provide a support for both the design of a new generation of PMUs and the possible development of an updated synchrophasor standard targeted to distribution systems.

Suggested Citation

  • Paolo Castello & Carlo Muscas & Paolo Attilio Pegoraro & Sara Sulis, 2019. "PMU’s Behavior with Flicker-Generating Voltage Fluctuations: An Experimental Analysis," Energies, MDPI, vol. 12(17), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:17:p:3355-:d:262635
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    References listed on IDEAS

    as
    1. Stephen Robson & Gan Tan & Abderrahmane Haddad, 2019. "Low-Cost Monitoring of Synchrophasors Using Frequency Modulation," Energies, MDPI, vol. 12(4), pages 1-26, February.
    2. Stefano Lodetti & Izaskun Azcarate & José Julio Gutiérrez & Luis Alberto Leturiondo & Koldo Redondo & Purificación Sáiz & Julio J. Melero & Jorge Bruna, 2019. "Flicker of Modern Lighting Technologies Due to Rapid Voltage Changes," Energies, MDPI, vol. 12(5), pages 1-16, March.
    3. Yue Shen & Muhammad Abubakar & Hui Liu & Fida Hussain, 2019. "Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems," Energies, MDPI, vol. 12(7), pages 1-26, April.
    4. Weihao Hu & Yunqian Zhang & Zhe Chen & Yanting Hu, 2013. "Flicker Mitigation by Speed Control of Permanent Magnet Synchronous Generator Variable-Speed Wind Turbines," Energies, MDPI, vol. 6(8), pages 1-15, July.
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    Cited by:

    1. Yassine Amirat & Zakarya Oubrahim & Hafiz Ahmed & Mohamed Benbouzid & Tianzhen Wang, 2020. "Phasor Estimation for Grid Power Monitoring: Least Square vs. Linear Kalman Filter," Energies, MDPI, vol. 13(10), pages 1-15, May.
    2. Aleksander Chudy & Piotr Hołyszko & Paweł Mazurek, 2022. "Fast Charging of an Electric Bus Fleet and Its Impact on the Power Quality Based on On-Site Measurements," Energies, MDPI, vol. 15(15), pages 1-16, July.
    3. Haitao Gao & Peng Xu & Jin Tao & Shihui Huang & Rugang Wang & Quan Zhou, 2020. "Voltage Flicker Detection Based on Probability Resampling," Energies, MDPI, vol. 13(13), pages 1-12, June.

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