The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …

To provide stability and a continuous supply of power, the detection and classification of
faults in the transmission lines (TLs) are crucial in this modern age. It is required to remove a …

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 …

Overhead power transmission lines are repeatedly subject to environmental fluctuations that
affect their insulation. Weakened insulation allows leakage current to increase over time …

Accurate fault detection and classification help to analyze fault causes and quickly restore
faulty phases. Deep learning can automatically extract fault features and identify fault types …

The fault is an unwanted disturbance in the power system and causes interruption to the
normal working condition in the system network. The need to quickly and accurately identify …

A modern electric power system integrated with advanced technologies such as sensors
and smart meters is referred to as a “smart grids”, aimed at enhancing electrical power …

Distributed energy generation increases the need for smart grid monitoring, protection, and
control. Localization, classification, and fault detection are essential for addressing any …

This research focuses on leveraging wavelet transform for fault classification within electrical
power transmission networks. This study meticulously examines the influence of various …

An expanding number of renewable energy sources is posing a problem for the energy
grid's safety and stability. This research provides a set-up with a variable reactive power …