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Contribution Determination for Multiple Unbalanced Sources at the Point of Common Coupling

Author

Listed:
  • Yuanyuan Sun

    (Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education, Shandong University, Jinan 250061, China
    The School of Electrical Engineering, Shandong University, Jinan 250061, China)

  • Peixin Li

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Shurong Li

    (The School of Electrical Engineering, Shandong University, Jinan 250061, China)

  • Linghan Zhang

    (The School of Electrical Engineering, Shandong University, Jinan 250061, China)

Abstract

Three-phase unbalance is an important power quality issue that can cause many negative effects to the power system. Effective mitigation and management of voltage unbalance will benefit from the knowledge of how the unbalanced sources contribute to the voltage asymmetry at the point of evaluation (POE). In this paper, a method is proposed to assess the overall unbalance contribution of the multiple unbalanced sources at the point of common coupling (PCC). Firstly, the equivalent circuit for analysis is established and the unbalance contribution indices are proposed. Then a method is proposed to determine whether the dominant unbalanced polluter is at the upstream or downstream of POE. If the main unbalanced source is identified to be downstream of POE, a procedure is further proposed to determine the individual contribution of the multiple unbalanced sources. Moreover, for the multiple unbalanced source condition, the current flowing in each feeder is proposed to be used for the contribution estimation instead of the current actually emitted by the unbalanced source. Finally, a method is proposed to estimate the equivalent negative sequence impedance of the aggregate loads. Simulation and field analysis results validate the effectiveness and accuracy of the method.

Suggested Citation

  • Yuanyuan Sun & Peixin Li & Shurong Li & Linghan Zhang, 2017. "Contribution Determination for Multiple Unbalanced Sources at the Point of Common Coupling," Energies, MDPI, vol. 10(2), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:171-:d:89374
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    Citations

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    Cited by:

    1. Zbigniew Olczykowski, 2021. "Electric Arc Furnaces as a Cause of Current and Voltage Asymmetry," Energies, MDPI, vol. 14(16), pages 1-18, August.
    2. Yixuan Yang & Ying Wang & Xiaoyang Ma, 2019. "Determining the Responsibility of Three-Phase Unbalanced Sources Based on RICA," Energies, MDPI, vol. 12(15), pages 1-19, July.
    3. Bharath Varsh Rao & Mark Stefan & Roman Schwalbe & Roman Karl & Friederich Kupzog & Martin Kozek, 2021. "Stratified Control Applied to a Three-Phase Unbalanced Low Voltage Distribution Grid in a Local Peer-to-Peer Energy Community," Energies, MDPI, vol. 14(11), pages 1-19, June.
    4. Alena Otcenasova & Roman Bodnar & Michal Regula & Marek Hoger & Michal Repak, 2017. "Methodology for Determination of the Number of Equipment Malfunctions Due to Voltage Sags," Energies, MDPI, vol. 10(3), pages 1-26, March.
    5. Bharath Varsh Rao & Friederich Kupzog & Martin Kozek, 2018. "Phase Balancing Home Energy Management System Using Model Predictive Control," Energies, MDPI, vol. 11(12), pages 1-19, November.
    6. Alexandros G. Paspatis & George C. Konstantopoulos, 2019. "Voltage Support under Grid Faults with Inherent Current Limitation for Three-Phase Droop-Controlled Inverters," Energies, MDPI, vol. 12(6), pages 1-20, March.
    7. Márcio Arvelos Moraes & Vinícius Henrique Farias Brito & José Carlos de Oliveira, 2022. "An Approach for Determining Voltage Imbalance Contributions Based on Complex Independent Component Analysis," Energies, MDPI, vol. 15(19), pages 1-17, September.

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