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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Application of Gabor transform technique to supervise power system transient harmonics
S.J. Huang,C.L. Huang,C.T. Hsieh +2 more
TL;DR: In this paper, a novel approach to visualizing power system harmonic trends is proposed, where the Gabor transform technique, embedded with a Gaussian-like window function, is applied to help monitor harmonic variations in the time dimension.
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Data analytics and computational methods for anti-islanding of renewable energy based Distributed Generators in power grids
TL;DR: In this paper, the problem of islanding in power grids having renewable energy based distributed generators connected to them has been investigated and various methods have been analyzed in terms of their working methodologies, tools used, accuracy, speed and other relevant aspects.
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Power Quality Disturbance Feature Selection and Pattern Recognition Based on Image Enhancement Techniques
TL;DR: The results of the simulation and contrast experiments show that the new method can determine the optimal classification subset, which recognizes the PQD signals effectively in different noise environments, and has higher signal processing efficiency compared with the EMD and ST methods.
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A rule-based S-Transform and AdaBoost based approach for power quality assessment
TL;DR: The results reveal that the proposed rule-based ST and AdaBoost based method performs better than the other methods viz., SVM and Decision Tree (DT), under varied noise conditions as well as under varied amount of data used for training.
Journal ArticleDOI
The Feedforward Short-Time Fourier Transform
TL;DR: This new approach is based on reusing the calculations of the STFT at consecutive time instants, which leads to significant savings in hardware components with respect to fast Fourier transform based STFTs.