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Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System

Author

Listed:
  • Aiman J. Albarakati

    (Department of Computer Engineering, Faculty of Computer and Information Sciences, Majmaah University, Majmaah 11952, Saudi Arabia)

  • Mohamed Azeroual

    (Electrical Engineering Department, High School of Technology, Moulay Ismail University, Meknes 50040, Morocco)

  • Younes Boujoudar

    (Electrical Engineering Department, Sidi Mohamed Ben Abdellah University, FST, Fez 28810, Morocco)

  • Lahcen EL Iysaouy

    (Electrical Engineering Department, Sidi Mohamed Ben Abdellah University, FST, Fez 28810, Morocco)

  • Ayman Aljarbouh

    (Department of Computer Science, University of Central Asia, 310 Lenin Street, Naryn 722918, Kyrgyzstan)

  • Asifa Tassaddiq

    (Department of Computer Engineering, Faculty of Computer and Information Sciences, Majmaah University, Majmaah 11952, Saudi Arabia)

  • Hassane EL Markhi

    (Electrical Engineering Department, Sidi Mohamed Ben Abdellah University, FST, Fez 28810, Morocco)

Abstract

Accurate fault location is challenging due to the distribution network’s various branches, complicated topology, and the increasing penetration of distributed energy resources (DERs). The diagnostics for power system faults are based on fault localization, isolation, and smart power restoration. Adaptive multi-agent systems (MAS) can improve the reliability, speed, selectivity, and robustness of power system protection. This paper proposes a MAS-based adaptive protection mechanism for fault location in smart grid applications. This study developed a novel distributed intelligent-based multi-agent prevention and mitigation technique for power systems against electrical faults and cyber-attacks. Simulation studies are performed on a platform constructed by interconnecting the power distribution system of Kenitra city developed in MATLAB/SIMULINK and the multi-agent system implemented in the JADE platform. The simulation results demonstrate the effectiveness of the proposed technique.

Suggested Citation

  • Aiman J. Albarakati & Mohamed Azeroual & Younes Boujoudar & Lahcen EL Iysaouy & Ayman Aljarbouh & Asifa Tassaddiq & Hassane EL Markhi, 2022. "Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System," Energies, MDPI, vol. 16(1), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:224-:d:1014559
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    References listed on IDEAS

    as
    1. Chenyang Liu & Yazeed Alrowaili & Neetesh Saxena & Charalambos Konstantinou, 2021. "Cyber Risks to Critical Smart Grid Assets of Industrial Control Systems," Energies, MDPI, vol. 14(17), pages 1-19, September.
    2. Dileep, G., 2020. "A survey on smart grid technologies and applications," Renewable Energy, Elsevier, vol. 146(C), pages 2589-2625.
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