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JCR Impact Factor: 1.221
JCR 5-Year IF: 0.961
SCOPUS CiteScore: 2.5
Issues per year: 4
Current issue: Aug 2021
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Avg review time: 92 days


PUBLISHER

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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  4/2017 - 2

Load Balancing of Large Distribution Network Model Calculations

MARTINOVIC, L. See more information about MARTINOVIC, L. on SCOPUS See more information about MARTINOVIC, L. on IEEExplore See more information about MARTINOVIC, L. on Web of Science, CAPKO, D. See more information about  CAPKO, D. on SCOPUS See more information about  CAPKO, D. on SCOPUS See more information about CAPKO, D. on Web of Science, ERDELJAN, A. See more information about ERDELJAN, A. on SCOPUS See more information about ERDELJAN, A. on SCOPUS See more information about ERDELJAN, A. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
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 (1,338 KB) | Citation | Downloads: 677 | Views: 1,939

Author keywords
distributed computing, power distribution, power system analysis computing, power system management, smart grids

References keywords
load(14), systems(11), balancing(11), power(7), algorithms(7), performance(5), dynamic(5), distribution(5), distributed(5), computing(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2017-11-30
Volume 17, Issue 4, Year 2017, On page(s): 11 - 18
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.04002
Web of Science Accession Number: 000417674300002
SCOPUS ID: 85035771475

Abstract
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Performance measurement and evaluation study of calculations based on load flow analysis in power distribution network is presented. The focus is on the choice of load index as it is the basic input for efficient dynamic load balancing. The basic description of problem along with the proposed architecture is given. Different server resources are inspected and analyzed while running calculations, and based on this investigation, recommendations regarding the choice of load index are made. Short description of used static and dynamic load balancing algorithms is given and the proposition of load index choice is supported by tests run on large real-world power distribution network models.


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Cited-By SCOPUS

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Cited-By CrossRef

[1] Determining Selection of Recloser Clusters to Automate Power Grids via Integer Programming and Statistical Current Analysis, VIEIRA, F. H. T., VAZ, R. R. C., FRANCO, R. A. P., CARNEIRO, M. L., ARAUJO, S. G., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 19, 2019.
Digital Object Identifier: 10.4316/AECE.2019.02012
[CrossRef] [Full text]

[2] Fault Tolerant Distributed Python Software Transactional Memory, POPOVIC, M., BASICEVIC, I., DJUKIC, M., POPOVIC, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 20, 2020.
Digital Object Identifier: 10.4316/AECE.2020.04003
[CrossRef] [Full text]

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