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

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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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: 1,226 | Views: 5,118

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.

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

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[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 243] [SCOPUS Times Cited 299]


[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.

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[CrossRef] [Web of Science Times Cited 132] [SCOPUS Times Cited 169]


[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.

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[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]


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[CrossRef] [Full Text] [Web of Science Times Cited 12] [SCOPUS Times Cited 14]


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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: 389 TCR
SCOPUS® Citations for all references: 488 TCR

Web of Science® Average Citations per reference: 15 ACR
SCOPUS® Average Citations per reference: 19 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 2024-11-21 03:52 in 37 seconds.




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Stefan cel Mare University of Suceava, Romania


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