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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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LATEST NEWS

2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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.

2017-Jun-14
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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  2/2019 - 12

Determining Selection of Recloser Clusters to Automate Power Grids via Integer Programming and Statistical Current Analysis

VIEIRA, F. H. T. See more information about VIEIRA, F. H. T. on SCOPUS See more information about VIEIRA, F. H. T. on IEEExplore See more information about VIEIRA, F. H. T. on Web of Science, VAZ, R. R. C., FRANCO, R. A. P., CARNEIRO, M. L., ARAUJO, S. G.
 
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 (1,220 KB) | Citation | Downloads: 82 | Views: 141

Author keywords
power system planning, power demand, power system analysis computing, load flow, power distribution lines

References keywords
power(18), distribution(17), systems(11), optimal(6), networks(6), energy(6), algorithm(5), system(4), smart(4), placement(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-05-31
Volume 19, Issue 2, Year 2019, On page(s): 91 - 96
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.02012
Web of Science Accession Number: 000475806300012
SCOPUS ID: 85066333632

Abstract
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This work presents a methodology for the deployment of Self-Healing systems in distribution grids in order to decrease continuity indexes such as the Equivalent Duration of Interruption per Consumer Unit. The proposed methodology consists in choosing feeders to receive Self-Healing system based on their performances in relation to the Equivalent Duration of Interruption per Consumer Unit. To this end, this methodology addresses current in the conductors and the number of consumers. In order to determine recloser cluster priorities, it is proposed to consider statistical analysis of current values by Decision theory and Binary Linear Programming. The results show that the application of the proposed methodology for determining recloser cluster priorities and cluster selection has great impact on the system operation since it is related to the number of served consumers, failure rates and compensation for the system.


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

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[2] M. Zidar, P. S. Georgilakis, N. D. Hatziargyriou, T. Capuder and D. Å krlec, "Review of energy storage allocation in power distribution networks: applications, methods and future research," IET Generation, Transmission & Distribution, vol. 10, no. 3, pp. 645-652, 2016,
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[13] Sh. Abdi, K. Afshar, S. Ahmadi, N. Bigdeli and M. Abdi, "Optimal recloser and autosectionalizer allocation in distribution networks using IPSO-MONTE CARLO approach," International Journal of Electrical Power & Energy Systems, vol. 55, no. 1, pp. 602-611, 2014,
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[14] D. V. Kondo, C. F. M. Almeida, H. Kagan, A. P. Cunha, M. R. Gouvea, L. A. Felber, M. F. Braga, and J. A. O. Nascimento, "A methodology for reclosers allocation in distribution networks," in Proc. 2013 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America), pp. 1-8, April 2013.

[15] D. P. Bernardon, M. Sperandio, V. J. Garcia, L. N. Canha, A. D. R. Abaide, and E. F. B. Daza, "AHP decision-making algorithm to allocate remotely controlled switches in distribution networks," IEEE Transactions on Power Delivery, vol. 26, no. 3, pp. 1884-1892, 2011,
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References Weight

Web of Science® Citations for all references: 1,124 TCR
SCOPUS® Citations for all references: 1,374 TCR

Web of Science® Average Citations per reference: 43 ACR
SCOPUS® Average Citations per reference: 53 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 2019-08-15 11:21 in 132 seconds.




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


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