Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review

M Mishra - International transactions on electrical energy …, 2019 - Wiley Online Library
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 …

A systematic review of real-time detection and classification of power quality disturbances

JE Caicedo, D Agudelo-Martínez… - … and Control of …, 2023 - ieeexplore.ieee.org
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 …

Mathematical morphology-based feature-extraction technique for detection and classification of faults on power transmission line

R Godse, S Bhat - IEEE Access, 2020 - ieeexplore.ieee.org
The permanency of highly-reliable power supply is a core trait of an electric power
transmission network. A transmission line is the main part of this network through which …

Fast algorithms for estimating the disturbance inception time in power systems based on time series of instantaneous values of current and voltage with a high …

M Senyuk, S Beryozkina, P Gubin, A Dmitrieva… - Mathematics, 2022 - mdpi.com
The study examines the development and testing of algorithms for disturbance inception
time estimation in a power system using instantaneous values of current and voltage with a …

The effects on classifier performance of 2D discrete wavelet transform analysis and whale optimization algorithm for recognition of power quality disturbances

S Karasu, Z Saraç - Cognitive Systems Research, 2022 - Elsevier
Power Quality (PQ) is becoming more and more important day by day in the electric network.
Signal processing, pattern recognition and machine learning are increasingly being studied …

Red deer optimized recurrent neural network for the classification of power quality disturbance

Z Dawood, CK Babulal - Electrical Engineering, 2023 - Springer
Abstract Power Quality Disturbance (PQD) in a power grid distribution destroys the quality of
power to the user. Thus, early detection of disturbances in the power grid distribution is …

Detection and classification of power quality disturbances or events by adaptive NFS classifier.

B Kiruthiga, R Narmatha Banu… - Soft Computing-A …, 2020 - search.ebscohost.com
In power distributed generation system, analysis of power quality is a major issue and hence
it is essential to implement an efficient power quality system. To address and end this issue …

Power quality events recognition using S-transform and wild goat optimization-based extreme learning machine

IS Samanta, PK Rout, S Mishra - Arabian Journal for Science and …, 2020 - Springer
This paper presents a novel approach for automatic power quality (PQ) event detection and
classification based on Stockwell transform (S-transform) and wild goat optimization (WGO) …

Feature extraction and power quality event classification using Curvelet transform and optimized extreme learning machine

IS Samanta, PK Rout, S Mishra - Electrical Engineering, 2021 - Springer
This article presents an efficient method for power quality events (PQEs) detection and
classification based on Curvelet transform (CT) and optimized extreme learning machine …

Recognition of voltage sag causes using fractionally delayed biorthogonal wavelet

MK Saini, R Kapoor, RK Beniwal… - Transactions of the …, 2019 - journals.sagepub.com
In this work, a new fractionally delayed biorthogonal wavelet is designed for recognition of
voltage sag causes. This work addresses the classification of voltage sag causes into three …