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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

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
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Download PDF pdficon (1,338 KB) | Citation | Downloads: 568 | Views: 1,620

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

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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.

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

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[2] R. Singh, B. C. Pal, and R. B. Vinter, "Measurement Placement in Distribution System State Estimation," IEEE Transactions on Power Systems, vol. 24, no. 2, pp. 668-675, May 2009.
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[CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 8]

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[8] L. Martinovic, D. Capko, and A. Erdeljan, "Estimation methods of calculations complexity in distribution management systems," 2014, pp. 325-328.
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[16] R.-E. Precup, M.-C. Sabau, and E. M. Petriu, "Nature-inspired optimal tuning of input membership functions of Takagi-Sugeno-Kang fuzzy models for Anti-lock Braking Systems," Applied Soft Computing, vol. 27, pp. 575-589, Feb. 2015.
[CrossRef] [Web of Science Times Cited 71] [SCOPUS Times Cited 88]

[17] S. Vrkalovic, T.-A. Teban, and L.-D. Borlea, "Stable Takagi-Sugeno fuzzy control designed by optimization," International Journal of Artificial Intelligence, vol. 15, no. 2, pp. 17-29, 2017.

[18] Z. Chen, S. Zhou, and J. Luo, "A robust ant colony optimization for continuous functions," Expert Systems with Applications, vol. 81, pp. 309-320, Sep. 2017.,
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 31]

[19] J. L. Bosque, P. Toharia, O. D. Robles, and L. Pastor, "A load index and load balancing algorithm for heterogeneous clusters," The Journal of Supercomputing, vol. 65, no. 3, pp. 1104-1113, Sep. 2013.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 5]

[20] A. Karimi, F. Zarafshan, A. Jantan, A. R. Ramli, M. Saripan, "A New Fuzzy Approach for Dynamic Load Balancing Algorithm," International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 1, pp. 1-5, Oct. 2009.

[21] P. Kanungo, "Measuring performance of dynamic load balancing algorithms in distributed computing applications," International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, No. 10, Oct. 2013.

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[25] D. Ferrari, S. Zhou, "An empirical investigation of load indices for load balancing applications Proc. Performance," '87, 12th IFIP WG7.3 Int. Symp. on Computer Performance, Brussels, 1987

[26] K. Schloegel, G. Karypis, and V. Kumar, "Multilevel Diffusion Schemes for Repartitioning of Adaptive Meshes," Journal of Parallel and Distributed Computing, vol. 47, no. 2, pp. 109-124, Dec. 1997.
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[28] K. Schloegel, G. Karypis, and V. Kumar, "Wavefront diffusion and LMSR: algorithms for dynamic repartitioning of adaptive meshes," IEEE Transactions on Parallel and Distributed Systems, vol. 12, no. 5, pp. 451-466, May 2001.
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 33]

References Weight

Web of Science® Citations for all references: 1,084 TCR
SCOPUS® Citations for all references: 2,942 TCR

Web of Science® Average Citations per reference: 37 ACR
SCOPUS® Average Citations per reference: 101 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 2021-01-14 19:44 in 106 seconds.

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Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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