Multi-agent-based fault location and cyber-attack detection in distribution system

JA Albarakati, M Azeroual, Y Boujoudar, L EL Iysaouy… - Energies, 2022 - mdpi.com
Accurate fault location is challenging due to the distribution network's various branches,
complicated topology, and the increasing penetration of distributed energy resources …

Diagnosis and classification of disturbances in the power distribution network by phasor measurement unit based on fuzzy intelligent system

M Khosravi, M Trik, A Ansari - The Journal of Engineering, 2024 - Wiley Online Library
The dynamic nature of distribution networks raises fresh issues with how such electrical
systems function. These networks have some characteristics that indicate the need for better …

Fault location in distribution network by solving the optimization problem based on power system status estimation using the PMU

M Dashtdar, A Hussain, HZ Al Garni, AA Mas' ud… - Machines, 2023 - mdpi.com
Fault location is one of the main challenges in the distribution network due to its expanse
and complexity. Today, with the advent of phasor measurement units (PMU), various …

Intelligent fault detection and classification schemes for smart grids based on deep neural networks

AS Alhanaf, HH Balik, M Farsadi - Energies, 2023 - mdpi.com
Effective fault detection, classification, and localization are vital for smart grid self-healing
and fault mitigation. Deep learning has the capability to autonomously extract fault …

A pool-based electricity retail markets integrating renewable energy sources and electric vehicles in the presence of demand response program and conditional value …

C Kong, J Wei, Z Zhao - Computers and Electrical Engineering, 2024 - Elsevier
In restructured power systems, energy security has become a critical concern, driven by
changes in laws and regulations and underscored by a defensive approach implemented by …

[HTML][HTML] Design of an intelligent decision model for power grid fault location and isolation based on topology analysis

X Yuan, H Wang, Y Yuan, S Zhang - International Journal of Thermofluids, 2024 - Elsevier
Detecting and isolating power grid faults quickly and efficiently ensures a constant power
flow. The lack of speed and accuracy in conventional approaches to fault management …

Intelligent fault diagnosis in power systems: A comparative analysis of machine learning-based algorithms

Y Venkatachalam, T Subbaiyan - Expert Systems with Applications, 2025 - Elsevier
Background: The electric power transmission line plays a vital role in ensuring a consistent
and reliable supply of electrical power. However, due to their long length, these lines are …

Nail disease detection and classification using deep learning

R Regin, G Reddy, SK Ch… - … Asian Journal of …, 2022 - cajmns.centralasianstudies.org
Many disorders are identified in the early stages of diagnosis by analyzing the human
hand's nails. The colour of a person's nails can aid in diagnosing certain medical conditions …

[HTML][HTML] Distributed agents structure for current-only adaptive relaying scheme reinforced against failures and cyberattacks

M Elgamal, AA Menaem, MA Alotaibi… - Ain Shams Engineering …, 2024 - Elsevier
This paper proposes a directional overcurrent protection scheme based on distributed
agents. The method does not involve voltage measurement for the current direction function …

Multi-paradigm modelling and control of microgrid systems for better power stability in the Rockaways

A Aljarbouh, D Zubov, IAR Moghrabi - Frontiers in Energy Research, 2024 - frontiersin.org
The Rockaways Peninsula faces issues related to congestion and power outages during
times of peak usage. Additionally, it is susceptible to disruptions caused by disasters such as …