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 …

A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances

S Khokhar, AABM Zin, ASB Mokhtar… - … and Sustainable Energy …, 2015 - Elsevier
The increasing trend towards renewable energy sources requires higher power quality (PQ)
at the generation, transmission and distribution systems. The PQ disturbances are produced …