In the electric power business, power transformers are one of the most common and
expensive components. The conventional diagnostic tool for understanding insulation …

This paper presents an edge computing-oriented islanding detection paradigm using multi-
support vector machines (SVM) and differential entropy. The proposed methodology can …

Transmission lines are the interconnecting power lines between the generating station and
the distribution system. To detect and classify faults in transmission lines are very much …

The empirical mode decomposition (EMD) and artificial neural network (ANN) are used in
this paper to solve an islanding detection problem. In light of this, the voltage signal …

In the modern power infrastructure, the widespread integration of Distributed Generations
(DGs) into distribution networks is occurring at a significant pace. This trend is primarily …

Islanding detection stands as a critical facet within grid-connected distributed generation
(DG) systems. These systems harness the source of renewable energies such as solar …

In the present work, autocorrelation aided deep learning framework for islanding detection in
grid connected distributed generation system is proposed. For this purpose, islanding along …

Transmission lines as part of electrical power system when experience any fault may cause
power interruption in the system. Conventional transmission protection systems face many …

With the advancement in VLSI technology, the number of transistors on a device increases
along with the reduction in the size of transistor. The likelihood of a manufacturing failure …

Islanding detection in microgrid has become an integral part of protection system. To
enhance reliability, stability and power quality it is required to detect islanding condition …