Grid integrated renewable DG systems: A review of power quality challenges and state‐of‐the‐art mitigation techniques

M Bajaj, AK Singh - International Journal of Energy Research, 2020 - Wiley Online Library
Increased energy demands due to rapid industrialization, environmental concerns with fossil
fuel–based generation, diminishing fossil energy resources, transmission network …

Comprehensive review on detection and classification of power quality disturbances in utility grid with renewable energy penetration

GS Chawda, AG Shaik, M Shaik, S Padmanaban… - IEEE …, 2020 - ieeexplore.ieee.org
The global concern with power quality is increasing due to the penetration of renewable
energy (RE) sources to cater the energy demands and meet de-carbonization targets. Power …

A hybrid algorithm for recognition of power quality disturbances

R Kaushik, OP Mahela, PK Bhatt, B Khan… - IEEE …, 2020 - ieeexplore.ieee.org
An algorithm making use of hybrid features of Hilbert transform (HT) and Stockwell transform
(ST) to identify the single-stage and multiple (multi-stage) power quality disturbances …

A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network

S Wang, H Chen - Applied energy, 2019 - Elsevier
With the integration of multiple energy systems, there are more and more deterioration risks
of power quality in different energy production, transformation, delivery and consumption …

Review of FACTS technologies and applications for power quality in smart grids with renewable energy systems

FH Gandoman, A Ahmadi, AM Sharaf, P Siano… - … and sustainable energy …, 2018 - Elsevier
In the last two decades, emerging use of renewable and distributed energy sources in
electricity grid has created new challenges for the utility regarding the power quality, voltage …

Recent developments in machine learning for energy systems reliability management

L Duchesne, E Karangelos… - Proceedings of the …, 2020 - ieeexplore.ieee.org
This article reviews recent works applying machine learning (ML) techniques in the context
of energy systems' reliability assessment and control. We showcase both the progress …

Review of AI applications in harmonic analysis in power systems

A Eslami, M Negnevitsky, E Franklin, S Lyden - Renewable and Sustainable …, 2022 - Elsevier
Harmonics and waveform distortion is a significant power quality problem in modern power
systems with high penetration of Renewable Energy Sources (RES). This problem has …

Deep learning in electrical utility industry: A comprehensive review of a decade of research

M Mishra, J Nayak, B Naik, A Abraham - Engineering Applications of …, 2020 - Elsevier
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 …

Variational mode decomposition and decision tree based detection and classification of power quality disturbances in grid-connected distributed generation system

PD Achlerkar, SR Samantaray… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents a variational mode decomposition (VMD) and decision tree based
detection and classification method of single and mixed power quality (PQ) disturbances in …

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 …