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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
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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
 
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Download PDF pdficon (1,338 KB) | Citation | Downloads: 635 | Views: 1,823

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.


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

[1] Lakervi and Holmes, Electricity Distribution Network Design. Institution of Engineering and Technology, pp 1-26, pp. 192-208 2003.
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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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[10] S. Sharma, S. Singh, M. Sharma, "Performance analysis of load balancing algorithms," In: 38th World Academy of Science, Engineering and Technology, 2008.

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[CrossRef] [SCOPUS Times Cited 1488]


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[14] R. E. Korf, "Multi-way number partitioning," in Proceedings of the 20nd International Joint Conference on Arti?cial Intelligence (IJCAI-09), pp. 538-543, 2009.

[15] J. Vascak, "Adaptation of fuzzy cognitive maps by migration algorithms," Kybernetes, vol. 41, no. 3/4, pp. 429-443, Apr. 2012.
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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 76] [SCOPUS Times Cited 91]


[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.,
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[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 6] [SCOPUS Times Cited 6]


[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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[24] D. Ferrari, S. Zhou, "A load index for dynamic load balancing," in Proceedings of 1986 ACM Fall joint computer conference. IEEE Computer Society Press, pp. 684-690, 1986.

[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.
[CrossRef] [Web of Science Times Cited 73] [SCOPUS Times Cited 90]


[27] N. Widell, "Migration algorithms for automated load balancing," in Proceedings of 16th International Conf. on Parallel and Distributed Computing and Systems: MIT Cambridge USA, Nov. 2004.

[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 23] [SCOPUS Times Cited 33]




References Weight

Web of Science® Citations for all references: 1,127 TCR
SCOPUS® Citations for all references: 3,022 TCR

Web of Science® Average Citations per reference: 39 ACR
SCOPUS® Average Citations per reference: 104 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 2021-07-15 20:09 in 126 seconds.




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