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Stefan cel Mare
University of Suceava
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ROMANIA

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


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2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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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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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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  1/2018 - 6

Fault Ride Through Capability Enhancement of a Large-Scale PMSG Wind System with Bridge Type Fault Current Limiters

ALAM, M. S. See more information about ALAM, M. S. on SCOPUS See more information about ALAM, M. S. on IEEExplore See more information about ALAM, M. S. on Web of Science, ABIDO, M. A. Y. See more information about ABIDO, M. A. Y. on SCOPUS See more information about ABIDO, M. A. Y. on SCOPUS See more information about ABIDO, M. A. Y. on Web of Science
 
Click to see author's profile in 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 (2,252 KB) | Citation | Downloads: 223 | Views: 558

Author keywords
power system faults, energy conversion, wind energy, wind farms, permanent magnet machines

References keywords
wind(29), power(29), fault(22), energy(20), current(18), system(16), systems(11), limiter(10), control(10), generator(9)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-02-28
Volume 18, Issue 1, Year 2018, On page(s): 43 - 50
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.01006
Web of Science Accession Number: 000426449500006
SCOPUS ID: 85043246398

Abstract
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In this paper, bridge type fault current limiter (BFCL) is proposed as a potential solution to the fault problems of permanent magnet synchronous generator (PMSG) based large-scale wind energy system. As PMSG wind system is more vulnerable to disturbances, it is essential to guarantee the stability during severe disturbances by enhancing the fault ride through capability. BFCL controller has been designed to insert resistance and inductance during the inception of system disturbances in order to limit fault current. Constant capacitor voltage has been maintained by the grid voltage source converter (GVSC) controller while current extraction or injection has been achieved by machine VSC (MVSC) controller. Symmetrical and unsymmetrical faults have been applied in the system to show the effectiveness of the proposed BFCL solution. PMSG wind system, BFCL and their controllers have been implemented by real time hardware in loop (RTHIL) setup with real time digital simulator (RTDS) and dSPACE. Another significant feature of this work is that the performance of the proposed BFCL is compared with that of series dynamic braking resistor (SDBR). Comparative RTHIL implementation results show that the proposed BFCL is very efficient in improving system fault ride through capability by limiting the fault current and outperforms SDBR.


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References Weight

Web of Science® Citations for all references: 3,657 TCR
SCOPUS® Citations for all references: 5,524 TCR

Web of Science® Average Citations per reference: 81 ACR
SCOPUS® Average Citations per reference: 123 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 2018-09-18 18:17 in 295 seconds.




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