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
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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.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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Proceedings ArticleDOI
Non stationary signal analysis and classification using FTT transform and Naive Bayes classifier
TL;DR: The paper proposes a fast Time-Time transform for pattern recognition and analysis of non stationary signal which are responsible for power quality (PQ) distortion and a faster algorithm is devised for faster implementation.
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A New Fast and Efficient Artificial Neural Network Based State Estimator Incorporated into a Linear Optimal Regulator for Power System Control Enhancement
TL;DR: In this article, a state estimator based on an artificial neural network incorporated into a linear optimal regulator is introduced, and the optimum structure is identified when minimum state estimation is identified.
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Coded Quickest Classification With Applications in Bandwidth-Efficient Smart Grid Monitoring
TL;DR: A new local decision rule based on the stochastic ordering theory and a new fusion method based on codebook switching and minimum Hamming distance rule are developed, which can significantly lower the misclassification probabilities.
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A New Perspective of Wind Power Grid Codes Under Unbalanced and Distorted Grid Conditions
TL;DR: A new method for wind power grid codes based on time-frequency analysis technique, which provides accurate result both in steady-state and transient conditions and is verified by applying it to computer simulated and real-world cases provided by NREL in the US.
Proceedings ArticleDOI
Supervisory Power System Stability Control using Neuro-fuzzy system and particle swarm optimization algorithm
TL;DR: In this article, the authors describe the design and implementation of advanced supervisory power system stability controller (SPSSC) using Neuro-fuzzy system, and MATLAB S-function tool where the controller is taught from data generated by simulating the system for the optimal control regime.