In the recent power system scenario, the concept of microgrid is evolving rapidly. The
architecture should be robust enough to cater the complexity of integration of distributed …

This paper presents the detection of High Impedance Fault (HIF) in solar Photovoltaic (PV)
integrated power system using recurrent neural network-based Long Short-Term Memory …

This paper proposes an ensemble Random Subspace (RS) classifier for discrimination of
High Impedance Fault (HIF) in photovoltaic connected power network. The design and …

Abstract Successfully detecting High Impedance Faults (HIFs) is a challenge for distribution
systems' protection specialists due to the random behavior and low magnitude of the fault …

Optimal design of interconnected multimachine power system with power system stabilizers
(PSSs) enduring critical conditions is a challenging assignment due to several nonlinear …

This paper proposes a stacking ensemble classification model to classify the different Power
Quality Disturbances (PQDs) in Photovoltaic (PV) integrated power network. For this study …

In this study, different Power Quality Disturbances (PQDs) in Photovoltaic (PV) integrated
Microgrid (MG) network have been detected and classified using a voting method of …

The paper proposes a high impedance fault (HIF) detection method in distribution network
based on improved Emanuel and DenseNet. Firstly, the improved Emanuel model is …

Distribution networks are most prone to high impedance faults (HIFs). These types of faults
occur whenever an energized conductor makes a contact with some surfaces that are poor …

Low level current and similarity of High Impedance Faults (HIF) in respect of characteristics
to other transient events have posed a critical challenge to the protection of distribution …