Comprehensive Review on Detection and Classification of Power Quality Disturbances in Utility Grid With Renewable Energy Penetration
Gajendra Singh Chawda,Abdul Gafoor Shaik,Mahmood Shaik,Sanjeevikumar Padmanaban,Jens Bo Holm-Nielsen,Om Prakash Mahela,Palanisamy Kaliannan +6 more
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.read more
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
Mohamed I. Mosaad,Haitham Saad Mohamed Ramadan,Mansour Aljohani,Mohamed F. El-Naggar,Sherif S. M. Ghoneim +4 more
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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Power quality analysis using Discrete Orthogonal S-transform (DOST)
TL;DR: A new approach for power quality analysis using an orthogonal time-frequency representation of S-transform called Discrete Orthogonal S- transform (DOST) is presented.
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Application of artificial bee colony-based optimization for fault section estimation in power systems
Shyh-Jier Huang,Xian Zong Liu +1 more
TL;DR: An artificial bee colony algorithm to enhance the fault section estimation performance in power systems through mimicking the foraging behaviors of honeybee swarms, which excels at saving decision on external parameters such as crossover and mutation rates, facilitating the improvement of computation performance.
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Novelty detection and multi-class classification in power distribution voltage waveforms
TL;DR: The results obtained demonstrate the ability of the classification method to identify novelties and to classify known examples correctly and finds application in the mitigation process of emergencies normally performed by power utilities' maintenance and protection engineers.
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A new hybrid pattern recognition scheme for automatic discrimination of power quality disturbances
TL;DR: An effective method, for extracting features, so-called “integrated approach”, using integration of Discrete Wavelet Transform and Hyperbolic S Transform, and a new efficient feature selection method namely Orthogonal Forward Selection by incorporating Gram Schmidt procedure and forward selection is applied for selection of the best subset features.
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A hybrid ant colony optimization technique for power signal pattern classification
TL;DR: A comparative assessment of power signal disturbance pattern classification accuracy for different population based optimization approach like the genetic algorithm (GA) and particle swarm optimization technique are presented in this paper.