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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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2017-Jun-14
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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
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (656 KB) | Citation | Downloads: 744 | Views: 2,786

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

Abstract
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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

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

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[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 85] [SCOPUS Times Cited 118]


[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.

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[CrossRef] [Web of Science Times Cited 125] [SCOPUS Times Cited 154]


[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.

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[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] [SCOPUS Times Cited 4]


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[CrossRef] [Full Text] [Web of Science Times Cited 5] [SCOPUS Times Cited 8]


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



References Weight

Web of Science® Citations for all references: 215 TCR
SCOPUS® Citations for all references: 286 TCR

Web of Science® Average Citations per reference: 8 ACR
SCOPUS® Average Citations per reference: 11 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 2017-12-13 06:30 in 36 seconds.




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


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