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 two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making
TL;DR: The novelty of this work is in the incorporation of an IDM technique FCM-GRP into CHPEED to automatically determine the BCSs that represent decision makers' different, even conflicting, preferences.
Journal ArticleDOI
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
TL;DR: 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.
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Power Quality Assessment and Event Detection in Distribution Network With Wind Energy Penetration Using Stockwell Transform and Fuzzy Clustering
TL;DR: A novel method for assessing PQ associated with wind energy integration is proposed that is effective to recognize PQ issues in power systems with high penetration of wind energy with a low computational burden and detects different operational issues in the distribution network.
Journal ArticleDOI
Power quality assessment and event detection in hybrid power system
TL;DR: A method based on Stockwell's transform (S-transform) is presented in this paper for power quality (PQ) assessment and detection of islanding, outage and grid synchronization of renewable energy sources.
Journal ArticleDOI
Recognition of power quality disturbances using S-transform based ruled decision tree and fuzzy C-means clustering classifiers
TL;DR: A method based on Stockwell's transform and Fuzzy C-means clustering initialized by decision tree has been proposed for detection and classification of power quality (PQ) disturbances and is established effectively by results of high accuracy.
References
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Simulation and experimental design of a new advanced variable step size Incremental Conductance MPPT algorithm for PV systems
TL;DR: A comparative study between the proposed variable step size Incremental Conductance IC MPPT method under similar operating conditions is presented and demonstrates the efficiency of the proposed MPPT algorithm in terms of speed in MPP tracking and accuracy.
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Detection and Classification of Multiple Power-Quality Disturbances With Wavelet Multiclass SVM
TL;DR: An integrated model for recognizing power-quality disturbances (PQD) using a novel wavelet multiclass support vector machine (WMSVM) which is capable of processing multiple classification problems.
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Hybrid S-transform and Kalman filtering approach for detection and measurement of short duration disturbances in power networks
TL;DR: The proposed technique is applied to both simulated and experimentally obtained short duration power network disturbances in the presence of additive noise, and the results reveal significant accuracy in completely characterizing the power quality events.
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Comprehensive overview of grid interfaced solar photovoltaic systems
TL;DR: A comprehensive overview of grid-connected solar photovoltaic (PV) systems can be found in this paper, where the authors provide a wide spectrum on architecture of grid connected solar PV system and its constituent components such as solar cell, PV array, maximum power point tracking, filters, DC-DC converters, single-phase inverters, and three-phase inverted inverters.
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Classification of Power Quality Disturbances Due to Environmental Characteristics in Distributed Generation System
TL;DR: In this paper, the power quality disturbances in terms of statistical features are classified distinctly by use of modular probabilistic neural network (MPNN), support vector machines (SVMs), and least square support vector machine (LS-SVM) techniques.