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Improved Three-Phase AFD Islanding Detection Based on Digital Control and Non-Detection Zone Elimination

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  • Xinxin Zheng

    (Automobile Engineering Technology Research Institution, Hefei University of Technology, Hefei 230009, China)

  • Rui Zhang

    (Automobile Engineering Technology Research Institution, Hefei University of Technology, Hefei 230009, China)

  • Xi Chen

    (State Grid Hefei Electric Power Supply Company, Hefei 230001, China)

  • Nong Sun

    (State Grid Hefei Electric Power Supply Company, Hefei 230001, China)

Abstract

This paper proposes an improved active frequency drift (AFD) islanding detection method of a three-phase inverter. Different than the existing single-phase AFD method, in the three-phase system, the disturbance is added to the phase angle, which takes part in coordinate transformation calculations. Thus, the frequency drift of the three-phase reference current can be realized by the disturbance of the phase angle. It is unnecessary to add frequency drift to each phase respectively with the proposed method, which can simplify the control system. Furthermore, the non-detection zone can be eliminated by updating certain parameters; therefore, the detection method is sensitive. In this paper, the application of the proposed method in a digital control system is discussed in detail. The non-detection zone is analyzed, and an elimination method is proposed. Finally, the simulation and experimental results are given to verify the theoretical analysis.

Suggested Citation

  • Xinxin Zheng & Rui Zhang & Xi Chen & Nong Sun, 2018. "Improved Three-Phase AFD Islanding Detection Based on Digital Control and Non-Detection Zone Elimination," Energies, MDPI, vol. 11(9), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2421-:d:169466
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    References listed on IDEAS

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    1. Hasan, Rasedul & Mekhilef, Saad & Seyedmahmoudian, Mehdi & Horan, Ben, 2017. "Grid-connected isolated PV microinverters: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1065-1080.
    2. Samet, Haidar & Hashemi, Farid & Ghanbari, Teymoor, 2015. "Minimum non detection zone for islanding detection using an optimal Artificial Neural Network algorithm based on PSO," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1-18.
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    Cited by:

    1. Krzysztof Dmitruk & Andrzej Sikorski, 2022. "Implementation of the Improved Active Frequency Drift Anti-Islanding Method into the Three-Phase AC/DC Converter with the LCL Grid Filter," Energies, MDPI, vol. 15(4), pages 1-14, February.
    2. Mazaher Karimi & Mohammad Farshad & Qiteng Hong & Hannu Laaksonen & Kimmo Kauhaniemi, 2020. "An Islanding Detection Technique for Inverter-Based Distributed Generation in Microgrids," Energies, MDPI, vol. 14(1), pages 1-18, December.

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