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JCR Impact Factor: 0.459
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Issues per year: 4
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Next issue: May 2017
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

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


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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

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  3/2015 - 9

Verification of Transformer Restricted Earth Fault Protection by using the Monte Carlo Method

KRSTIVOJEVIC, J. P. See more information about KRSTIVOJEVIC, J. P. on SCOPUS See more information about KRSTIVOJEVIC, J. P. on IEEExplore See more information about KRSTIVOJEVIC, J. P. on Web of Science, DJURIC, M. B. See more information about DJURIC, M. B. on SCOPUS See more information about DJURIC, M. B. on SCOPUS See more information about DJURIC, M. B. 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 (1,603 KB) | Citation | Downloads: 189 | Views: 924

Author keywords
power transformer, power system protection, transformer earth fault protection, current transformer saturation, measurements, Monte Carlo method

References keywords
power(18), transformer(15), protection(10), current(10), systems(8), transformers(7), protective(5), inrush(5), fault(5), electric(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-08-31
Volume 15, Issue 3, Year 2015, On page(s): 65 - 72
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.03009
Web of Science Accession Number: 000360171500009
SCOPUS ID: 84940757874

Abstract
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The results of a comprehensive investigation of the influence of current transformer (CT) saturation on restricted earth fault (REF) protection during power transformer magnetization inrush are presented. Since the inrush current during switch-on of unloaded power transformer is stochastic, its values are obtained by: (i) laboratory measurements and (ii) calculations based on the input data obtained by the Monte Carlo (MC) simulation. To make a detailed assessment of the current transformer performance the uncertain input data for the CT model were obtained by applying the MC method. In this way, different levels of remanent flux in CT core are taken into consideration. By the generated CT secondary currents, the algorithm for REF protection based on phase comparison in time domain is tested. On the basis of the obtained results, a method of adjustment of the triggering threshold in order to ensure safe operation during transients, and thereby improve the algorithm security, has been proposed. The obtained results indicate that power transformer REF protection would be enhanced by using the proposed adjustment of triggering threshold in the algorithm which is based on phase comparison in time domain.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]


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[CrossRef]


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[CrossRef] [SCOPUS Times Cited 17]


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[CrossRef]


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[CrossRef]


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[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


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[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 6]




References Weight

Web of Science® Citations for all references: 265 TCR
SCOPUS® Citations for all references: 471 TCR

Web of Science® Average Citations per reference: 9 ACR
SCOPUS® Average Citations per reference: 16 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-04-29 06:37 in 170 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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