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Implementation of the Improved Active Frequency Drift Anti-Islanding Method into the Three-Phase AC/DC Converter with the LCL Grid Filter

Author

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  • Krzysztof Dmitruk

    (Faculty of Electrical Engineering, Bialystok University of Technology, Wiejska 45D, 15-351 Bialystok, Poland)

  • Andrzej Sikorski

    (Faculty of Electrical Engineering, Bialystok University of Technology, Wiejska 45D, 15-351 Bialystok, Poland)

Abstract

The article presents a modified standard Active Frequency Drift (AFD) method used to detect unintentional island operation in converters generating electricity from renewable energy sources to the power grid. The primary aim of each of the island operation detection methods is the possibility of shortening the energising of a separate part of the power grid. The proposed method eliminates fragments of the reference current signal when it reaches a constant value for a particular time. This part of the signal is replaced with the hyperbolic sine function. It allows reducing the value of Total Harmonic Distortions (THD) while maintaining the same effectiveness of island operation detection. The article contains a detailed description of the newly proposed type of disturbance generation. The proposed solution is verified by conducting simulation and laboratory tests. The possibility of shortening the island operation detection time is proven by increasing the maximum distortion introduced into the current without exceeding the permissible THD limit for converters connected to the power grid.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1323-:d:747382
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    References listed on IDEAS

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    1. Muhammed Y. Worku & Mohamed A. Hassan & Luqman S. Maraaba & Mohammad A. Abido, 2021. "Islanding Detection Methods for Microgrids: A Comprehensive Review," Mathematics, MDPI, vol. 9(24), pages 1-23, December.
    2. Min-Sung Kim & Raza Haider & Gyu-Jung Cho & Chul-Hwan Kim & Chung-Yuen Won & Jong-Seo Chai, 2019. "Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems," Energies, MDPI, vol. 12(5), pages 1-21, March.
    3. 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.
    4. Fabio Bignucolo & Alberto Cerretti & Massimiliano Coppo & Andrea Savio & Roberto Turri, 2017. "Effects of Energy Storage Systems Grid Code Requirements on Interface Protection Performances in Low Voltage Networks," Energies, MDPI, vol. 10(3), pages 1-20, March.
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