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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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  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. See more information about  VAZ, R. R. C. on SCOPUS See more information about  VAZ, R. R. C. on SCOPUS See more information about VAZ, R. R. C. on Web of Science, FRANCO, R. A. P. See more information about  FRANCO, R. A. P. on SCOPUS See more information about  FRANCO, R. A. P. on SCOPUS See more information about FRANCO, R. A. P. on Web of Science, CARNEIRO, M. L. See more information about   CARNEIRO, M. L. on SCOPUS See more information about   CARNEIRO, M. L. on SCOPUS See more information about CARNEIRO, M. L. on Web of Science, ARAUJO, S. G. See more information about ARAUJO, S. G. on SCOPUS See more information about ARAUJO, S. G. on SCOPUS See more information about ARAUJO, S. G. on Web of Science
 
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Download PDF pdficon (1,220 KB) | Citation | Downloads: 205 | Views: 665

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

[1] P. S. Georgilakis and N. D. Hatziargyriou, "Optimal Distributed Generation Placement in Power Distribution Networks: Models, Methods, and Future Research," IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 3420-3428, Aug. 2013,
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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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[3] X. Cao, H. Wang, Y. Liu, R. Azizipanah-Abarghooee and V. Terzija, "Coordinating self-healing control of bulk power transmission system based on a hierarchical top-down strategy," International Journal of Electrical Power & Energy Systems, vol. 90, pp. 147-157, 2017,
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[7] L. Martinovic, D. Capko and A. Erdeljan, "Load Balancing of Large Distribution Network Model Calculations," Advances in Electrical and Computer Engineering, vol. 17, no. 4, pp. 11-18, 2017,
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[8] D. Popovic, L. Glamocic, M. Nimrihter, M. Tanaskovic, D. Vukotic and D. Damljanovic, "Optimal automation level of medium voltage distribution network," in Proc. 18th International Conference and Exhibition on Electricity Distribution (CIRED), pp. 1-5, Turin, Italy, 2005.

[9] W. Tippachon and D. Rerkpreedapong, "Multi-objective optimal placement of switches and protective devices in electric power distribution systems using ant colony optimization," Electr. Power Syst. Res., vol. 79, no. 7, pp. 1171-1178, 2009,
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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: 1,416 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 54 ACR
SCOPUS® Average Citations per reference: 0

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 2021-01-18 18:01 in 113 seconds.




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