|4/2017 - 2|
Load Balancing of Large Distribution Network Model CalculationsMARTINOVIC, L. , CAPKO, D. , ERDELJAN, A.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,338 KB) | Citation | Downloads: 982 | Views: 2,812|
distributed computing, power distribution, power system analysis computing, power system management, smart grids
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
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|
| Lakervi and Holmes, Electricity Distribution Network Design. Institution of Engineering and Technology, pp 1-26, pp. 192-208 2003. |
 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.
[CrossRef] [Web of Science Times Cited 182] [SCOPUS Times Cited 220]
 J. S. Chai, and Anjan Bose. "Bottlenecks in parallel algorithms for power system stability analysis," IEEE Transactions on Power Systems vol. 8 no. 1, pp. 9-15., 1993.
[CrossRef] [Web of Science Times Cited 62] [SCOPUS Times Cited 80]
 G. Gurrala, A. Dimitrovski, P. Sreekanth, S. Simunovic, M. Starke, and K. Sun, "Application of adomian decomposition for multi-machine power system simulation," In Power & Energy Society General Meeting, 2015 IEEE, pp. 1-5, 2015.,
[CrossRef] [SCOPUS Times Cited 6]
 D. Shirmohammadi, H. W. Hong, A. Semlyen, and G. X. Luo, "A compensation-based power flow method for weakly meshed distribution and transmission networks," IEEE Transactions on Power Systems, vol. 3, no. 2, pp. 753-762, May 1988.
[CrossRef] [Web of Science Times Cited 729] [SCOPUS Times Cited 980]
 D. Capko, A. Erdeljan, M. Popovic, and G. Svenda, "An Optimal Initial Partitioning of Large Data Model in Utility Management Systems," Advances in Electrical and Computer Engineering, vol. 11, no. 4, pp. 41-46, 2011.
[CrossRef] [Full Text] [Web of Science Times Cited 8] [SCOPUS Times Cited 8]
 D. Capko, A. Erdeljan, S. Vukmirovic, and I. Lendak, "A Hybrid Genetic Algorithm for Partitioning of Data Model in Distribution Management Systems," Information Technology And Control, vol. 40, no. 4, Dec. 2011.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 9]
 L. Martinovic, D. Capko, and A. Erdeljan, "Estimation methods of calculations complexity in distribution management systems," 2014, pp. 325-328.
[CrossRef] [SCOPUS Times Cited 1]
 K. Benmohammed-Mahieddine, "An Evaluation of Load Balancing Algorithms for Distributed Systems," PhD thesis, University of Leeds, Oct. 1991.
 S. Sharma, S. Singh, M. Sharma, "Performance analysis of load balancing algorithms," In: 38th World Academy of Science, Engineering and Technology, 2008.
 S. Zhou, D. Ferrari, "A measurement study of load balancing performance," Proc. 7th Int. Conf. Dist. Computing Syst., pp 490-497, 1987.
 R. L. Graham, "Bounds on Multiprocessing Timing Anomalies," SIAM Journal on Applied Mathematics, vol. 17, no. 2, pp. 416-429, Mar. 1969.
[CrossRef] [SCOPUS Times Cited 1671]
 N. Karmarkar, R. M. Karp, "The differencing method of set partitioning," Technical Report UCB/CSD 82/113, Computer Science Division, University of California, Berkeley, vol. 82, no. 113, pp.181-203, 1982.
 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.
 J. Vascak, "Adaptation of fuzzy cognitive maps by migration algorithms," Kybernetes, vol. 41, no. 3/4, pp. 429-443, Apr. 2012.
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 75]
 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 84] [SCOPUS Times Cited 98]
 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.
 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 37] [SCOPUS Times Cited 48]
 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 8] [SCOPUS Times Cited 8]
 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.
 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.
 R. Luling, B. Monien, and F. Ramme, "Load balancing in large networks: a comparative study," 1991, pp. 686-689.
[CrossRef] [SCOPUS Times Cited 47]
 E. Laskowski, M. Tudruj, R. Olejnik, and D. Kopanski, "Dynamic Load Balancing Based on Applications Global States Monitoring," 2013, pp. 11-18.
[CrossRef] [SCOPUS Times Cited 5]
 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.
 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
 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 78] [SCOPUS Times Cited 102]
 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.
 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 24] [SCOPUS Times Cited 42]
Web of Science® Citations for all references: 1,270 TCR
SCOPUS® Citations for all references: 3,400 TCR
Web of Science® Average Citations per reference: 44 ACR
SCOPUS® Average Citations per reference: 117 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 2023-11-28 21:35 in 100 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
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.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.