Power quality and reliability issues are big challenges to both service provider and
consumers in conventional power grids. The ongoing technological advancements in the …

Requirement of green supply with higher quality has been consumers' demand around the
globe. The electrical power system is expected to deliver undistorted sinusoidal rated …

大量非线性元件的应用给电力系统带来了大量的整数和非整数次谐波, 传统的谐波检测方法快速
傅立叶变换(FFT) 由于存在栅栏和频谱泄漏现象, 只适用于整数次谐波的分析 …

Abstract Automatic classification of Power Quality Disturbances (PQDs) is a challenging
concern for both the utility and industry. In this paper, a novel technique of automatic …

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 …

The increasing trend towards renewable energy sources requires higher power quality (PQ)
at the generation, transmission and distribution systems. The PQ disturbances are produced …

Quantum computing (QC) and deep learning have shown promise of supporting
transformative advances and have recently gained popularity in a wide range of areas. This …

The accurate detection and classification of power quality (PQ) disturbances in power
systems is a key step to determine the causes of these events before any proper …

Recently, power quality (PQ) issues have drawn considerable attention of the researchers
due to the increasing awareness of the customers towards power quality. The PQ issues …

In this paper, a prototype wavelet-based neural-network classifier for recognizing power-
quality disturbances is implemented and tested under various transient events. The discrete …