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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Feb 2018
Next issue: May 2018
Avg review time: 107 days


Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
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Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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  4/2015 - 5

Synchrophasor-Based Online Coherency Identification in Voltage Stability Assessment

ADEWOLE, A. C. See more information about ADEWOLE, A. C. on SCOPUS See more information about ADEWOLE, A. C. on IEEExplore See more information about ADEWOLE, A. C. on Web of Science, TZONEVA, R. See more information about TZONEVA, R. on SCOPUS See more information about TZONEVA, R. on SCOPUS See more information about TZONEVA, R. on Web of Science
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,528 KB) | Citation | Downloads: 320 | Views: 1,353

Author keywords
clustering method, machine learning, phasor measurement unit, power system stability, voltage stability

References keywords
power(45), systems(20), system(17), voltage(13), stability(13), tpwrs(11), reactive(9), dynamic(8), analysis(7), real(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-11-30
Volume 15, Issue 4, Year 2015, On page(s): 33 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.04005
Web of Science Accession Number: 000368499800005
SCOPUS ID: 84949981200

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This paper presents and investigates a new measurement-based approach in the identification of coherent groups in load buses and synchronous generators for voltage stability assessment application in large interconnected power systems. A hybrid Calinski-Harabasz criterion and k-means clustering algorithm is developed for the determination of the cluster groups in the system. The proposed method is successfully validated by using the New England 39-bus test system. Also, the performance of the voltage stability assessment algorithm using wide area synchrophasor measurements from the key synchronous generator in each respective cluster was tested online for the prediction of the system's margin to voltage collapse using a testbed comprising of a Programmable Logic Controller (PLC) in a hardware-in-the-loop configuration with the Real-Time Digital Simulator (RTDS) and Phasor Measurement Units (PMUs).

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Cited-By ISI Web of Science

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SCOPUS® Times Cited: 4
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Cited-By CrossRef

[1] Adaptive under-voltage load shedding scheme for large interconnected smart grids based on wide area synchrophasor measurements, Tzoneva, Raynitchka, Adewole, Adeyemi Charles, Apostolov, Alexander, IET Generation, Transmission & Distribution, ISSN 1751-8687, Issue 8, Volume 10, 2016.
Digital Object Identifier: 10.1049/iet-gtd.2015.1250

[2] Extended synchrophasor-based online voltage stability assessment using synchronous generator-derived indices, Adewole, Adeyemi Charles, Tzoneva, Raynitchka, International Transactions on Electrical Energy Systems, ISSN 2050-7038, Issue 1, Volume 27, 2017.
Digital Object Identifier: 10.1002/etep.2236

[3] Surrogate-splits ensembles for real-time voltage stability assessment in the presence of missing synchrophasor measurements, Adewole, Adeyemi Charles, Tzoneva, Raynitchka, IET Science, Measurement & Technology, ISSN 1751-8822, Issue 5, Volume 11, 2017.
Digital Object Identifier: 10.1049/iet-smt.2016.0431

[4] Voltage stability assessment using synchrophasor measurements: Trends and development, Pinzon, Jaime D., Colome, Delia G., 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America), ISBN 978-1-5386-3312-0, 2017.
Digital Object Identifier: 10.1109/ISGT-LA.2017.8126724

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Copyright ©2001-2018
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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