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Comprehensive Review on Detection and Classification of Power Quality Disturbances in Utility Grid With Renewable Energy Penetration

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TLDR
A critical review of techniques used for detection and classification PQ disturbances in the utility grid with renewable energy penetration is presented, to provide various concepts utilized for extraction of the features to detect and classify the P Q disturbances even in the noisy environment.
Abstract
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 quality (PQ) disturbances are found to be more predominant with RE penetration due to the variable outputs and interfacing converters. There is a need to recognize and mitigate PQ disturbances to supply clean power to the consumer. This article presents a critical review of techniques used for detection and classification PQ disturbances in the utility grid with renewable energy penetration. The broad perspective of this review paper is to provide various concepts utilized for extraction of the features to detect and classify the PQ disturbances even in the noisy environment. More than 220 research publications have been critically reviewed, classified and listed for quick reference of the engineers, scientists and academicians working in the power quality area.

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Citations
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Journal ArticleDOI

Sustainable development of renewable energy integrated power sector: Trends, environmental impacts, and recent challenges.

TL;DR: In this article , the authors provide an up-to-date review of the most recent global trend of various renewable energy integrations into the power sector and discuss the role of RE integration in sustainable development.
Journal ArticleDOI

Near-Optimal PI Controllers of STATCOM for Efficient Hybrid Renewable Power System

TL;DR: In this paper, the static synchronous compensator (STATCOM) is considered for both improving the performance of a hybrid system, which contains WECS and photovoltaics (PVs) against wind gusts and maintaining the continuous operations of RESs during three-phase fault occur at the point of common coupling (PCC) between the RESs and the grid.
Journal ArticleDOI

A Critical Analysis of Methodologies for Detection and Classification of Power Quality Events in Smart Grid

TL;DR: In this paper, the authors present an exhaustive survey of detection and classification of power quality disturbances by discussing signal processing techniques and artificial intelligence tools with their respective pros and cons, with the viewpoint of the types of power input signal (synthetic/real/noisy), preprocessing tools, feature selection methods, artificial intelligence techniques and modes of operation (online/offline).
Journal ArticleDOI

A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification

TL;DR: The proposed hybrid convolutional neural network method is a novel approach that covers the steps of an expert examining a signal and its classification performance is relatively high compared to other methods, the computational complexity is almost the same.
Proceedings ArticleDOI

Optimal feature and decision tree based classification of power quality disturbances in distributed generation systems

TL;DR: In this paper, the authors provided an improved power quality (PQ) disturbances classification, which were associated with load changes and environmental factors, by employing support vector machines (SVM) and decision tree classifiers.
References
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Journal ArticleDOI

Rule-based classification of power quality disturbances using S-transform

TL;DR: In this article, a rule-based approach for the classification of power quality disturbances is presented, where the disturbed signal is first characterized using the multi-resolution S-transform, which acts as a feature extraction tool.
Journal ArticleDOI

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

TL;DR: A comprehensive review of various conventional and adaptive algorithms used to control DFACTS devices for improvement of power quality in utility grids with RE penetration is presented.
Journal ArticleDOI

The search for optimal feature set in power quality event classification

TL;DR: This observation shows that when a new analysis tool or a feature is developed and claimed to perform ''better'' than another, one should always indicate the matching classifier for the feature because that feature may prove comparably inefficient with other classifiers.
Journal ArticleDOI

Analysis of Nonstationary Power-Quality Waveforms Using Iterative Hilbert Huang Transform and SAX Algorithm

TL;DR: In this article, a new method using the Symbolic Aggregate ApproXimation (SAX) method is proposed to overcome the problem in identifying instants of sudden changes in the waveform, which can be used to both identify and later isolate unique signatures within a provider's distribution system.
Journal ArticleDOI

Power quality assessment and event detection in hybrid power system

TL;DR: A method based on Stockwell's transform (S-transform) is presented in this paper for power quality (PQ) assessment and detection of islanding, outage and grid synchronization of renewable energy sources.
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