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Load Balancing of Large Distribution Network Model CalculationsMARTINOVIC, L. , CAPKO, D. , ERDELJAN, A. |
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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
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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[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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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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