Smart-grid (SG) is a new revolution in the electrical utility industry (EUI) over the past
decade. With each moving day, some new advanced technologies are coming into the …

Power quality (PQ) studies have gained huge attention from the academics and the industry
over the past three decades. The main objective of this article is to provide a comprehensive …

This paper offers a systematic literature review of real-time detection and classification of
Power Quality Disturbances (PQDs). A particular focus is given to voltage sags and notches …

Microgrids with distributed renewable energy sources are especially sensitive to power
quality disturbances. To mitigate the effects of distortions, they must first be detected and …

This paper presents a novel approach to detect and classify the power quality disturbance
(PQD) signals based on singular spectrum analysis (SSA), curvelet transform (CT) and deep …

The excessive use of power semiconductor devices in a grid utility increases the malfunction
of the control system, produces power quality disturbances (PQDs) and reduces the …

Many industies have equipments sensitive to bad power quality that affects their production
and product quality. Therefore, it is important to automatically monitor the quality of power …

The power quality disturbances caused by large-scale grid connection of nonlinear loads
and distributed generations seriously affect the safe and stable operation of precision …

In this paper, a novel approach to classify the signals of power quality (PQ) disturbance is
proposed based on segmented and modified S-transform (SMST), deep convolutional …

This paper presents a new method for identifying different types of power quality
disturbances (PQDs). In this article, adaptive chirp mode pursuit (ACMP) is used to extract …