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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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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  2/2011 - 12

Power Grids' Dynamic Enlargement Calculus Using Petri Nets

MUNTEANU, R. See more information about MUNTEANU, R. on SCOPUS See more information about MUNTEANU, R. on IEEExplore See more information about MUNTEANU, R. on Web of Science, DUB, V. See more information about DUB, V. on SCOPUS See more information about DUB, V. on SCOPUS See more information about DUB, V. on Web of Science
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Download PDF pdficon (656 KB) | Citation | Downloads: 763 | Views: 3,094

Author keywords
topological vulnerability, Petri nets, power grids, scale-free graphs

References keywords
power(9), networks(9), vulnerability(6), scale(6), network(6), free(6), review(4), physical(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-05-30
Volume 11, Issue 2, Year 2011, On page(s): 73 - 78
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.02012
Web of Science Accession Number: 000293840500012
SCOPUS ID: 79958843025

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The robustness of power grids characterizes the behavior of grids in situations of serial failures and/or human errors. A coherent method of evaluating vulnerability is to quantify this attribute in terms of the scale-free graph theory. One way of increasing power grid robustness consists of adding new electric lines between the existing nodes. Once the target scale-free network is found, the real network must be enlarged to the graph of the target network. The choice of a reasonable solution is made difficult by the great number of topological solutions, because this number increases as the number of the network nodes becomes bigger. Thus, the first aim is to make an inventory of all these solutions. The second necessary step is to build correct algorithms able to find the nodes of the real grid which will be connected respecting economical criteria. In continuation of our previous research, our paper proposes a Petri net-based method of building all enlargement variants, starting from non-robust networks to the nearest free-scale, robust network. Starting from some distinctive characteristics of elementary enlargements introduced in our earlier works, this allows us to obtain a mathematically unique, robustness-oriented enlargement solution.

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

[1] R. Albert, A. L. Barabási , "Statistical mechanics of complex networks", in Reviews of Modern Physics, volume 74, January, 2002, pag. 47-97.

[2] A. L. Barabasi, E. Ravasz, T. Vicsek, "Deterministic Scale-Free Networks", in Physica A 299, (3-4) (2001), pp. 559-564.

[3] R. Cohen, S. Havlin, D. Avraham, "Structural Properties of Scale-Free Networks", WILEY-VCH Verlag Berlin GmbH, August 18, 2002.

[4] D. S. Callaway, M. E. J. Newman, S. H. Strogatz, and D. J. Watts, "Network Robustness and Fragility: Percolation on Random Graphs", in Physical Review Letters, volume 85, number 25, 2000, pp. 5468-5471.

[5] A. Pinar, J. Meza, V. Done, B. Lesieutre, "Optimization strategies for the vulnerability analysis of the electric power grid", in SIAM J. OPTIM. Society for Industrial and Applied Mathematics, Vol. 20, No. 4, pp. 1786-1810.

[6] L. Zhao, K. Park, Y. C. Lai1, "Attack vulnerability of scale-free networks due to cascading breakdown", in PHYSICAL REVIEW E 70, (2004), pp. 035101-4.

[7] P. Hines, S. Blumsack, E. Cotilla Sanchez, C. Barrows, "The Topological and Electrical Structure of Power Grids," in HICSS, pp.1-10, 2010 43rd Hawaii International Conference on System Sciences, 2010.

[8] S. Arianos, E. Bompard, A. Carbone, F. Xue, "Power grids vulnerability: a complex network approach", in Chaos 19, 013119 (2009),
[CrossRef] [Web of Science Times Cited 120] [SCOPUS Times Cited 154]

[9] R. V. Sole, M. Rosas-Casals, B. Corominas-Murtra, and S. Valverde, "Robustness of the European power grids under intentional attack", in Physical review, 77, 026102, 2008, pp. 026102-2-7.

[10] P. Crucittia, M. Marchioric, A. Rapisarda, "Efficiency of scale-free networks: error and attack tolerance", in Physica A, Volume 320, 15 March 2003, pp. 622-642.

[11] Y. W. Chen1, L F Zhang1,J P Huang1, "The Watts-Strogatz network model including degree distribution: theory and computer simulation," in J. Phys. A: Math. Theor. 40 (2007), pp. 8237-8246.

[12] A. L. Barabási , "Linked: The New Science of Networks:" Perseus Publishing, April 2002.

[13] H. Wang, Y. Guo, "Consensus on scale-free network", in Proceedings of the American Control Conference, Washington, USA, 2008, pp. 748-752.

[14] B. J Kim, C. N. Yoon , S. K. Han, H. Jeong, "Path finding strategies in scale-free networks", in PHYSICAL REVIEW E, vol. 65, 2003,
[CrossRef] [Web of Science Times Cited 128] [SCOPUS Times Cited 163]

[15] D. P. Chassin, C. Posse "Evaluating North American electric grid reliability using the Barabási-Albert network model", in Physica A: Statistical Mechanics and its Applications, Volume 355, Issues 2-4, 15 September 2005, pp. 667-677.

[16] T. Rigole, G. Deconinck , "A Survey on Modeling and Simulation of Interdependent Critical Infrastructures", 3rd IEEE Benelux Young Researchers Symposium in Electrical Power Engineering, paper no. 44, pp.1-9, 27-28 April 2006, Ghent, Belgium.

[17] E. Zio, W. Kroger, "Vulnerability assessment of critical Infrastructures", in IEEE Reliability Society 2009 Annual Technology Report, pp.1-7.

[18] P. Hines, E. Cotilla-Sanchez, S. Blumsack, "Do topological models provide good information about electricity infrastructure vulnerability?", in Proceeding of CHAOS 20, 2010, published online 28 September 2010, pp. 033122-1-5.

[19] V. Dub, D. Sarchiz , "Power networks' robustness oriented Extension", in PowerTech 2009 IEEE Bucharest, 2009
[CrossRef] [SCOPUS Times Cited 2]

[20] O. A. Mousavi, M. S. Farashbashi-astaneh, G. B. Gharehpetian, "Improving Power System Risk Evaluation Method Using Monte Carlo Simulation and Gaussian Mixture Method," Advances in Electrical and Computer Engineering, vol. 9, no. 2, pp. 38-44, 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 4]

[21] G. Grigoras, G. Cartina, E. C. Bobric, "Strategies for Power/Energy Saving in Distribution Networks," Advances in Electrical and Computer Engineering, vol. 10, no. 2, pp. 61-64, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]

[22] M. Rosas-Casals, S. Valverde, R. V. Sole, "Topological vulnerability of the european power grid under errors and attacks", in International Journal of Bifurcation and Chaos, World Scientific Publishing Company, vol. 17, no. 7 (2007), pp. 2465-2475.

[23] P. Cesarz, P., G. M. Pomann, G. L. Torre, et al., "Detecting Network Vulnerabilities Through Graph Theoretical Methods", pp. 1-20, October 2007.

[24] T. Murata, Petri nets: Properties, "Analysis and Applications", in Proceedings of the IEEE, vol. 77, No. 4, April 1989, pp. 541-580.

[25] O. Pastravanu, "Sisteme cu evenimente discrete "(Discrete event systems), Matrixrom Publishing Bucarest, 1997.

References Weight

Web of Science® Citations for all references: 256 TCR
SCOPUS® Citations for all references: 331 TCR

Web of Science® Average Citations per reference: 10 ACR
SCOPUS® Average Citations per reference: 13 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 2019-02-20 22:44 in 42 seconds.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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