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Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System

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  • Yasser A. Elshrief

    (Electrical Engineering Department, Egyptian Academy for Engineering and Advanced Technology (EAE&AT), Affiliated to the Ministry of Military Production, Cairo 32511, Egypt
    Industrial Electronics and Control Engineering Department, Menofia University, Menouf 32511, Egypt)

  • Sameh Abd-Elhaleem

    (Industrial Electronics and Control Engineering Department, Menofia University, Menouf 32511, Egypt)

  • Sulayman Kujabi

    (Electrical Engineering Department, Kwame Nkrumah University of Science and Technology, Kumasi 23321, Ghana)

  • Dalal H. Helmi

    (Ministry of Electricity, Sector of Electricity Market and Cross-Border Interconnection at (EEHC) Cairo, Cairo 11765, Egypt)

  • Belal A. Abozalam

    (Industrial Electronics and Control Engineering Department, Menofia University, Menouf 32511, Egypt)

  • Amin D. Asham

    (Electrical Engineering Department, Egyptian Academy for Engineering and Advanced Technology (EAE&AT), Affiliated to the Ministry of Military Production, Cairo 32511, Egypt)

Abstract

Distributed generation (DG) has reformed the meaning of power generation from large scale to small scale, but unintentional islanding is the main issue when connecting DG and the utility grid. A lot of techniques have been used for detecting islanding, among these techniques, there are passive and active. The main problem of passive techniques is their large non-detection zone (NDZ), while the main drawback of active techniques is their undesirable effect on power quality. In this paper, a proposed hybrid passive–active systematic methodology based on a smart classifier that decides to use an active method instead of a passive one is presented. In the proposed scheme, sensors are used for measuring the reactive power at three terminals: the DG terminal, grid terminal, and load terminal. The novelty in this paper is the accurate detection of islanding within a shorter time either in the normal case or NDZ; also it can differentiate between islanding and grid faults without degrading the power quality of the overall system as the active technique does not have to be used continuously, and so total harmonic distortion does not exceed the standard value (5%) detected by IEEE standards. The proposed scheme was simulated using the MATLAB/Simulink platform, and the results reflect its potential with a comparative study.

Suggested Citation

  • Yasser A. Elshrief & Sameh Abd-Elhaleem & Sulayman Kujabi & Dalal H. Helmi & Belal A. Abozalam & Amin D. Asham, 2022. "Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6325-:d:821362
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    References listed on IDEAS

    as
    1. 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.
    2. Jiexing Wan & Wei Hua & Baoan Wang, 2021. "Compulsory Islanding Transition Strategy Based on Fuzzy Logic Control for a Renewable Microgrid System," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-13, May.
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    Cited by:

    1. Faisal Mumtaz & Kashif Imran & Abdullah Abusorrah & Syed Basit Ali Bukhari, 2023. "An Extensive Overview of Islanding Detection Strategies of Active Distributed Generations in Sustainable Microgrids," Sustainability, MDPI, vol. 15(5), pages 1-19, March.

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