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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Journal ArticleDOI
Hybrid Methods for Fast Detection and Characterization of Power Quality Disturbances
TL;DR: In this article, the features of power quality (PQ) signal disturbances are extracted using these wavelet transforms and those extracted features are then used to classify various PQ disturbances.
Journal ArticleDOI
Micro-genetic algorithms for detecting and classifying electric power disturbances
Arturo Y. Jaen-Cuellar,Luis Morales-Velazquez,Rene de Jesus Romero-Troncoso,Daniel Morinigo-Sotelo,Roque Alfredo Osornio-Rios +4 more
TL;DR: A new methodology to directly detect and classify electrical disturbances in one step is developed and is compared with the particle swarm optimization method in order to show the effectiveness of this methodology.
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A Multi-Objective Allocation Approach for Power Quality Monitoring Devices
TL;DR: A multi-objective optimization approach for allocating the PQ monitoring devices with the aim of minimizing two conflicting objectives, namely, the cost and the loss of observability in the system is proposed.
Proceedings ArticleDOI
Harmonic and inter-harmonic detection of grid-connected distributed generation based on modified mathematical morphology filter and Hilbert-Huang transformation
Huali Chen,Yunlian Sun,Yan Cheng +2 more
TL;DR: In this article, a new method based on modified MM filter and HHT is proposed to detect harmonic/inter-harmonic caused by the power electric elements, which is very serious problem in the process of connected DG with the power grid.
Proceedings ArticleDOI
Fuzzy Logic Based Control Algorithm for DSTATCOM Connected to Weak AC Grid
TL;DR: This paper presents a fuzzy logic based synchronous reference frame algorithm for distribution static compensator to enhance the power quality of a weak AC grid.