This work investigates the use of advanced signal processing and deep Learning for pattern
recognition and classification of signals with power quality disturbances. For this purpose …

This paper studies mean-square (MS) convergent observers for estimating continuous states
of randomly switched linear systems (RSLSs) with unobservable subsystems that are …

The smart transformer (ST) is a multiport and multi-stage converter that allows for the
formation of meshed hybrid microgrids (MHMs) by enabling AC-DC ports in medium and low …

Kullback–Leibler divergence (KLD) based sensor placement design (SPD) has been
recently proposed for accurate estimation of variables using data reconciliation for steady …

As global energy consumption continues its upward trend; the use of renewable energy
sources has also been on the rise. However, the intermittent nature of generation and the …

A hybrid technique for improving the transient and small signal stability in microgrid (MG)
using virtual inertia is discussed at these manuscripts. The established hybrid method …

This paper introduces a stochastic hybrid system (SHS) framework in state space model to
capture sensor, communication, and system contingencies in modern power systems (MPS) …

In this paper, a fractional order active (P) and reactive (Q) power controller of doubly fed
induction generator (DFIG) is developed and it performance is demonstrated using …

This paper introduces a new stochastic hybrid system (SHS) framework for contingency
detection in modern power systems (MPS). The framework uses stochastic hybrid system …

Abstract For the Three-Input Integrated Dc-Dc (TIID) Converter, due to integrated structure
and presence of common elements, each controlling input variable affects the three …