Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …

An auto-restoration tool to minimize the impact of faults is one of the critical requirements in
a power distribution system. A fault-monitoring system is needed for practical remote …

Protection schemes are used in safe-guarding and ensuring the reliability of an electrical
power network. Developing an effective protection scheme for high impedance fault (HIF) …

Fault diagnosis is vital for detecting the type of fault and rapid restoration of the electric
power supply. The existing machine learning‐based classification method for detecting fault …

Fault detection, classification and estimation in power systems is one of the most critical
aspects of the engineering society. This goes beyond engineering factors to economic …

This paper presents a technique for high impedance fault diagnosis in a power distribution
network. A segment of a 22 kV Eskom real power system is modelled in Power World …

High impedance faults (HIFs) have over the years brought a complex challenge for
protection engineers. This complexity is founded of the fact tha a HIF poses characteristics …

This paper provides a comprehensive and systematic review of fault diagnosis methods
based on artificial intelligence (AI) in smart distribution networks described in the literature …

Numerous research works establish the high efficacy of Machine Learning (ML) based
power system fault diagnosis over conventional analytical methods. The ongoing integration …

The generation of electricity from renewable energy sources (RES) is becoming more
popular globally. This is because primary sources of electricity such as coal have a negative …