Current differential protection has been widely used as the primary protection of
transformers. However, inrush currents during transformer energization can cause …

Various unwanted phenomena that are taken place in the transformer may occasionally mal‐
operate selected fault classification based protective schemes. Hence, it is necessary to …

Artificial intelligence (AI) can potentially improve the reliability of transformer protection by
fusing multiple features. However, owing to the data scarcity of inrush current and internal …

Data‐driven and artificial intelligence based transformer protection has attracted increasing
attention but not been widely applied in the power system owing to the poor generalisation …

A new technique for power transformer protection, that depends on the calculation of fault
detection ratio (FDR) based on quartile of superimposed differential currents is presented …

Various unwanted phenomena that are taken place in the transformer may occasionally mal-
operate selected fault classification based protective schemes. Hence, it is necessary to …

Recently, and during the measurements of core losses in electrical steel laminations, it has
been observed that as the excitation frequency of the rotating field increases the measured …

This paper proposes a method for optimal coordination of multistage overcurrent relays
(OCRs) in radial distribution networks, including industrial, rural, and urban grids. The …

Deep learning based transformer protection has attracted increasing attention. However, its
poor generalization abilities hinder the application of deep learning in the power system …

Digital transition of energy systems encloses all major parts of the electric grids, including
power system protection and monitoring. This chapter first accurately reviews the basics of …