LAPSE:2023.6518
Published Article
LAPSE:2023.6518
Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System
February 23, 2023
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.
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.
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Keywords
cyber-attacks, fault location, multi-agent systems, smart grid
Subject
Suggested Citation
Albarakati AJ, Azeroual M, Boujoudar Y, EL Iysaouy L, Aljarbouh A, Tassaddiq A, EL Markhi H. Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System. (2023). LAPSE:2023.6518
Author Affiliations
Albarakati AJ: Department of Computer Engineering, Faculty of Computer and Information Sciences, Majmaah University, Majmaah 11952, Saudi Arabia [ORCID]
Azeroual M: Electrical Engineering Department, High School of Technology, Moulay Ismail University, Meknes 50040, Morocco [ORCID]
Boujoudar Y: Electrical Engineering Department, Sidi Mohamed Ben Abdellah University, FST, Fez 28810, Morocco [ORCID]
EL Iysaouy L: Electrical Engineering Department, Sidi Mohamed Ben Abdellah University, FST, Fez 28810, Morocco
Aljarbouh A: Department of Computer Science, University of Central Asia, 310 Lenin Street, Naryn 722918, Kyrgyzstan [ORCID]
Tassaddiq A: Department of Computer Engineering, Faculty of Computer and Information Sciences, Majmaah University, Majmaah 11952, Saudi Arabia [ORCID]
EL Markhi H: Electrical Engineering Department, Sidi Mohamed Ben Abdellah University, FST, Fez 28810, Morocco
Azeroual M: Electrical Engineering Department, High School of Technology, Moulay Ismail University, Meknes 50040, Morocco [ORCID]
Boujoudar Y: Electrical Engineering Department, Sidi Mohamed Ben Abdellah University, FST, Fez 28810, Morocco [ORCID]
EL Iysaouy L: Electrical Engineering Department, Sidi Mohamed Ben Abdellah University, FST, Fez 28810, Morocco
Aljarbouh A: Department of Computer Science, University of Central Asia, 310 Lenin Street, Naryn 722918, Kyrgyzstan [ORCID]
Tassaddiq A: Department of Computer Engineering, Faculty of Computer and Information Sciences, Majmaah University, Majmaah 11952, Saudi Arabia [ORCID]
EL Markhi H: Electrical Engineering Department, Sidi Mohamed Ben Abdellah University, FST, Fez 28810, Morocco
Journal Name
Energies
Volume
16
Issue
1
First Page
224
Year
2022
Publication Date
2022-12-25
ISSN
1996-1073
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Original Submission
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PII: en16010224, Publication Type: Journal Article
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LAPSE:2023.6518
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https://doi.org/10.3390/en16010224
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Feb 23, 2023
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