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.
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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).
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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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Hardware and software architecture for power quality analysis
TL;DR: The proposed system has the property of fast and accurate detection and classification of any power quality disturbance event and introduces a new PQ index determination that allows characterizing any type of disturbance including the non-periodic signals.
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Hardware Design and Implementation for Empirical Mode Decomposition
TL;DR: A flexible, low cost, and high-performance silicon intellectual property (SIP) core for the EMD is proposed to meet the high-speed requirements of various EMD applications.
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A sparse representation based approach for recognition of power system transients
TL;DR: The present work shows how a new genre of problem solution techniques called compressive sensing (CI) can be utilized for solving power quality problems using sparse representation based classification (SRC) technique, a popular, recently emerging technique in CI.
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Incremental Conductance Based Particle Swarm Optimization Algorithm for Global Maximum Power Tracking of Solar-PV under Nonuniform Operating Conditions
TL;DR: The proposed ICPSO algorithm has the merit of continuous adjustment of weight components which reduces active power oscillations at the optimal global position area and enhances the output power of the Solar-PV up to 7% with the maximum power tracking of 0.1 s compared to other maximum power point tracking algorithms.
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Recognition and assessment of different factors which affect flicker in wind turbines
TL;DR: An algorithm is presented for assessment and recognition of different factors causing flicker of wind turbines, and results show that the classifier can detect different causes of flicker event with high detection accuracy.