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
Power Quality Disturbances Characterization Using Signal Processing and Pattern Recognition Techniques: A Comprehensive Review
TL;DR: In this paper , the authors provide an overview of the state-of-the-art signal processing and pattern recognition-based power quality disturbances characterization techniques for monitoring purposes, which will enable early detection of power system disturbances, maximize productivity, and minimize power system downtime.
Journal ArticleDOI
Fast TT transform and optimized probabilistic neural network-based power quality event detection and classification
Proceedings ArticleDOI
Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions
Michael Vollmer,Adrian Englhardt,Holger Trittenbach,Pawel Bielski,Shahab Karrari,Klemens Böhm +5 more
TL;DR: This article studies the issue of extracting features from energy time series for a novel use case: Deriving human-understandable descriptions for smart-meter measurements of industrial production machines and selects features suitable for the use case to derive machine descriptions for an industrial production facility.
Proceedings ArticleDOI
Harmonics assessment and analysis at low voltage networks — Case study: Mutah University campus (Engineering building)
TL;DR: In this paper, a case-study analysis for harmonics profile in electrical distribution system of Mutah University is presented, which focuses on one of the campus buildings (Engineering Faculty Building).
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.