Journal ArticleDOI
Power quality recognition in distribution system with solar energy penetration using S-transform and Fuzzy C-means clustering
TLDR
In this paper, the authors presented a technique to recognize the power quality disturbances associated with solar energy penetration in distribution network using a standard IEEE-13 bus test system modified by incorporating the solar PV system.About:
This article is published in Renewable Energy.The article was published on 2017-06-01. It has received 83 citations till now. The article focuses on the topics: Photovoltaic system & Solar energy.read more
Citations
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Journal ArticleDOI
A novel methodology for dynamic voltage support with adaptive schemes in photovoltaic generators
Journal ArticleDOI
Fault Detection and Classification to Design a Protection Scheme for Utility Grid with High Penetration of Wind and Solar Energy
TL;DR: In this article , the authors designed a protection scheme for utility grid with high share of renewable energy (RE) generated from wind energy and solar energy plants based on extraction of features from the current using Stockwell transform (ST), Hilbert transform (HT), and alienation coefficient.
Journal ArticleDOI
Optimal Sizing and Deployment of Renewable Energy Generators in Practical Transmission Network Using Grid-Oriented Multiobjective Harmony Search Algorithm for Loss Reduction and Voltage Profile Improvements
Pramod Kumar,Nagendra Kumar Swarnkar,Om Prakash Mahela,Baseem Khan,Divya Anand,Amar Singh,Juan Luís Vidal Mazón,Fahd S. Alharithi +7 more
TL;DR: In this article , a grid-oriented multiobjective harmony search algorithm (GOMOHSA) is proposed to incorporate the multiple grid parameters for minimization of the active power loss, reactive power loss and total voltage deviations (TVD) in a part of practical transmission network of Rajasthan Rajya Vidyut Prasaran Nigam Limited (RVPN) in southern parts of Raja Pradesh state of India.
Proceedings ArticleDOI
Protection of Utility Network with Solar Power Generation
TL;DR: In this article , a protection scheme method (PSM) is proposed for detection of faulty condition incident on the utility grid network with solar photovoltaic (PV) power generation.
Journal ArticleDOI
Fusion of Signal Processing Techniques to Design Current and Voltage Features Based Protection Scheme for Utility Grid With Renewable Energy Penetration
TL;DR: In this article , a hybrid fault detection index (HFDI) is designed which detects the fault events utilizing the features extracted from both current and voltage signals for utility network with high concentration of renewable energy (RE) generation.
References
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Journal ArticleDOI
Localization of the complex spectrum: the S transform
TL;DR: The S transform is shown to have some desirable characteristics that are absent in the continuous wavelet transform, and provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum.
Journal Article
Localisation of the complex spectrum : The S transform
TL;DR: The S transform as discussed by the authors is an extension to the ideas of the Gabor transform and the Wavelet transform, based on a moving and scalable localising Gaussian window and is shown here to have characteristics that are superior to either of the transforms.
Journal ArticleDOI
Radial distribution test feeders
TL;DR: In this paper, the authors present an updated version of the same test feeders along with a simple system that can be used to test three-phase transformer models, which is a common set of data that could be used by program developers and users to verify the correctness of their solutions.
Journal ArticleDOI
Power quality assessment via wavelet transform analysis
TL;DR: In this article, the authors present a new approach to detect, localize, and investigate the feasibility of classifying various types of power quality disturbances using dyadic-orthonormal wavelet transform analysis.
Journal ArticleDOI
Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network
TL;DR: The simulation results reveal that the combination of S-Transform and PNN can effectively detect and classify different PQ events and it is found that the classification performance of PNN is better than both FFML and LVQ.