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D-PMU and 5G-Network-Based Coordination Control Method for Three-Phase Imbalance Mitigation Units in the LVDN

Author

Listed:
  • Mengmeng Xiao

    (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Shaorong Wang

    (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Zia Ullah

    (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Three-phase imbalance is a long-term issue existing in low-voltage distribution networks (LVDNs), which consequently has an inverse impact on the safe and optimal operation of LVDNs. Recently, the increasing integration of single-phase distributed generations (DGs) and flexible loads has increased the probability of imbalance occurrence in LVDNs. To overcome the above challenges, this paper proposes a novel methodology based on the concept of “Active Asymmetry Energy-Absorbing (AAEA)” utilizing loads with a back-to-back converter, denoted as “AAEA Unit” in this paper. AAEA Units are deployed and coordinated to actively absorb asymmetry power among three phases for imbalance mitigation in LVDNs based on the high-precision, high-accuracy, and real-time distribution-level phasor measurement unit (D-PMU) data acquisition system and the 5th generation mobile networks (5G) communication channels. Furthermore, the control scheme of the proposed method includes three control units. Specifically, the positive-sequence control unit is designed to maintain the voltage of the DC-capacitor of the back-to-back converter. Likewise, the negative-sequence and zero-sequence control units are expected to mitigate the imbalanced current components. A simple imbalanced LVDN is modeled and tested in Simulink/Matlab (MathWorks, US). The obtained results demonstrate the effectiveness of the proposed methodology.

Suggested Citation

  • Mengmeng Xiao & Shaorong Wang & Zia Ullah, 2021. "D-PMU and 5G-Network-Based Coordination Control Method for Three-Phase Imbalance Mitigation Units in the LVDN," Energies, MDPI, vol. 14(10), pages 1-12, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2754-:d:552391
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    References listed on IDEAS

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    1. Hao Wu & Lin Zhou & Yihao Wan & Qiang Liu & Siyu Zhou, 2019. "A Mixed Uncertainty Power Flow Algorithm-Based Centralized Photovoltaic (PV) Cluster," Energies, MDPI, vol. 12(20), pages 1-16, October.
    2. Dimitar Bozalakov & Mohannad J. Mnati & Joannes Laveyne & Jan Desmet & Lieven Vandevelde, 2019. "Battery Storage Integration in Voltage Unbalance and Overvoltage Mitigation Control Strategies and Its Impact on the Power Quality," Energies, MDPI, vol. 12(8), pages 1-26, April.
    3. Agalar, Sener & Kaplan, Yusuf Alper, 2018. "Power quality improvement using STS and DVR in wind energy system," Renewable Energy, Elsevier, vol. 118(C), pages 1031-1040.
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    Cited by:

    1. Xuejun Zheng & Shaorong Wang & Xin Su & Mengmeng Xiao & Zia Ullah & Xin Hu & Chang Ye, 2021. "Real-Time Dynamic Behavior Evaluation of Active Distribution Networks Leveraging Low-Cost PMUs," Energies, MDPI, vol. 14(16), pages 1-20, August.
    2. Sebastian Baba & Serafin Bachman & Marek Jasinski & Hong Li, 2021. "Evaluation of Modular Power Converter Integrated with 5G Network," Energies, MDPI, vol. 14(21), pages 1-17, November.

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