This paper presents an intelligent protection scheme for microgrid using combined wavelet
transform and decision tree. The process starts at retrieving current signals at the relaying …

Detection and classification of transmission line (TL) faults are key factors for the fault root
cause analysis and rapid restoration of the power network. Deep learning can extract …

This paper proposes a fault detection and classification method for medium voltage DC
(MVDC) shipboard power systems (SPSs) by integrating wavelet transform (WT) …

Accurate fault classification and detection for the microgrid (MG) becomes a concern among
the researchers from the state-of-art of fault diagnosis as it increases the chance to increase …

Frequency control is one of the most important issues in a power system due to increasing
size, changing structure and the complexity of interconnected power systems. Increasing …

When faults occur in the microgrids, high frequency transients will be superimposed on the
system currents and voltages. The magnitude of those transients will attenuate as it …

In order to deal with the nonstationary signatures of phasor measurement units (PMU)
signals, this paper presents a wavelet-based detection algorithm. Moreover, for an …

A fault detection, identification, and location approach is proposed and studied in this paper.
This approach is based on matching pursuit decomposition (MPD) using Gaussian atom …

Real-time multiple event analysis is important for reliable situational awareness and secure
operation of the power system. Multiple sequential events can induce complex …

This paper presents a new framework for supervisory protection and situational awareness
to enhance grid operations and protection using modern wide-area monitoring systems. In …