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Harmonic Content-Based Protection Method for Microgrids via 1-Dimensional Recursive Median Filtering Algorithm

Author

Listed:
  • Faisal Mumtaz

    (USPCAS-E, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Kashif Imran

    (USPCAS-E, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Abdullah Abusorrah

    (Department of Electrical and Computer Engineering, Faculty of Engineering, K. A. CARE Energy Research and Innovation Center, Jeddah 21589, Saudi Arabia
    Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Syed Basit Ali Bukhari

    (Department of Electrical Engineering, The University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan)

Abstract

Microgrids (MGs) offers grid-connected (GC) and islanded (ID) operational modes. However, these dynamic modes of operation pose different microgrid protection challenges. This paper presents a new protection method for MGs based on a discrete one-dimensional recursive Median filter (1-DRMF). In the first step, the 1-DRMF is applied on a measured current signal on every single phase individually for targeted feature extraction. Then, the median filter deviation (MFD) and the selected harmonic distortion (SHD) are computed from the current signals of all phases independently. In the second step, the upsurges in the MFD and the SHD of all phases are cross-checked with the pre-established threshold value of 0.3 to identify and categorize fault incidents. Finally, the directional properties of three-phase (3-p) reactive energy are employed in order to pinpoint the faulty line section (LS). Many simulations were executed on MATLAB/Simulink to validate the sustainable performance of the established method. Results prove that the scheme can detect, classify, and locate the solid and high impedance faults (HIF) in the GC as well as the ID modes under radial and meshed scenarios.

Suggested Citation

  • Faisal Mumtaz & Kashif Imran & Abdullah Abusorrah & Syed Basit Ali Bukhari, 2022. "Harmonic Content-Based Protection Method for Microgrids via 1-Dimensional Recursive Median Filtering Algorithm," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:164-:d:1012126
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    References listed on IDEAS

    as
    1. Erinc Karatoprak & Serhat Seker, 2019. "An Improved Empirical Mode Decomposition Method Using Variable Window Median Filter for Early Fault Detection in Electric Motors," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-9, February.
    2. Cagnano, A. & De Tuglie, E. & Mancarella, P., 2020. "Microgrids: Overview and guidelines for practical implementations and operation," Applied Energy, Elsevier, vol. 258(C).
    3. Faisal Mumtaz & Haseeb Hassan Khan & Amad Zafar & Muhammad Umair Ali & Kashif Imran, 2022. "A State-Observer-Based Protection Scheme for AC Microgrids with Recurrent Neural Network Assistance," Energies, MDPI, vol. 15(22), pages 1-22, November.
    4. Shazia Baloch & Saeed Zaman Jamali & Khawaja Khalid Mehmood & Syed Basit Ali Bukhari & Muhammad Saeed Uz Zaman & Arif Hussain & Chul-Hwan Kim, 2020. "Microgrid Protection Strategy Based on the Autocorrelation of Current Envelopes Using the Squaring and Low-Pass Filtering Method," Energies, MDPI, vol. 13(9), pages 1-13, May.
    5. Hun-Chul Seo, 2019. "New Protection Scheme Based on Coordination with Tie Switch in an Open-Loop Microgrid," Energies, MDPI, vol. 12(24), pages 1-19, December.
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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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