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Open Access

Component Importance and Interdependence Analysis for Transmission, Distribution and Communication Systems

Tao Fu, Dexin Wang, Xiaoyuan Fan, Qiuhua Huang( )
Pacific Northwest National Laboratory, Washington 99354, United States
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Abstract

For critical infrastructure restoration planning, the real-time scheduling and coordination of system restoration efforts, the key in decision-making is to prioritize those critical components that are out of service during the restoration. For this purpose, there is a need for component importance analysis. While it has been investigated extensively for individual systems, component importance considering interdependence among transmission, distribution and communication ( T& D& C) systems has not been systematically analyzed and widely adopted. In this study, we propose a component importance assessment method in the context of interdependence between T& D& C networks. Analytic methods for multilayer networks and a set of metrics have been applied for assessing the component importance and interdependence between T& D& C networks based on their physical characteristics. The proposed methodology is further validated with integrated synthetic Illinois regional transmission, distribution, and communication ( T& D& C) systems, the results reveal the unique characteristics of component/node importance, which may be strongly affected by the network topology and cross-domain node mapping.

Keywords

Multilayer networkinterdependencecomputer networks

References

[1]
A. Ulusan and O. Ergun, “Restoration of services in disrupted infrastructure systems: A network science approach,” PLoS ONE, vol. 13, no. 2, pp. e0192272, Feb. 2018.
Crossref Google Scholar
[2]
G. F. Li, G. C. Huang, Z. H. Bie, Y. L. Lin, and Y. X. Huang, “Component importance assessment of power systems for improving resilience under wind storms,” Journal of Modern Power Systems and Clean Energy, vol. 7, no. 4, pp. 676–787, Jul. 2019.
Crossref Google Scholar
[3]
A. Abedi, L. Gaudard, and F. Romerio, “Review of major approaches to analyze vulnerability in power system,” Reliability Engineering & System Safety, vol. 183, pp. 153–172, Mar. 2019.
Crossref Google Scholar
[4]
C. C. Chu and H. H.C. Iu, “Complex networks theory for modern smart grid applications: A survey,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 7, no. 2, pp. 177–191, Jun. 2017.
Crossref Google Scholar
[5]
R. Albert, I. Albert, and G. L. Nakarado, “Structural vulnerability of the North American power grid,” Physical Review E, vol. 69, no. 2, pp. 025103, Feb. 2004.
Crossref Google Scholar
[6]
R. Kinney, P. Crucitti, R. Albert, and V. Latora, “Modeling cascading failures in the North American power grid,” The European Physical Journal B-Condensed Matter and Complex Systems, vol. 46, no. 1, pp. 101–107, Jul. 2005.
Crossref Google Scholar
[7]
P. Crucitti, V. Latora, and M. Marchiori, “Model for cascading failures in complex networks,” Physical Review E, vol. 69, no. 4, pp. 045104, Apr. 2004.
Crossref Google Scholar
[8]
E. Bompard, D. Wu, and F. Xue, “Structural vulnerability of power systems: A topological approach,” Electric Power Systems Research, vol. 81, no. 7, pp. 1334–1340, Jul. 2011.
Crossref Google Scholar
[9]
D. Q. Wei, X. S. Luo, and B. Zhang, “Analysis of cascading failure in complex power networks under the load local preferential redistribution rule,” Physica A: Statistical Mechanics and its Applications, vol. 391, no. 8, pp. 2771–2777, Apr. 2012.
Crossref Google Scholar
[10]
Z. B. Wei and J. Y. Liu, “Research on the electric power grid vulnerability under the directed-weighted topological model based on Complex Network Theory,” in 2010 International Conference on Mechanic Automation and Control Engineering, 2010, pp. 3927–3930.
Google Scholar
[11]
S. M. Rinaldi, J. P. Peerenboom, and T. K. Kelly, “Identifying, understanding, and analyzing critical infrastructure interdependencies,” IEEE Control Systems Magazine, vol. 21, no. 6, pp. 11–25, Dec. 2001.
Crossref Google Scholar
[12]
P. Pederson, D. Dudenhoeffer, S. Hartley, and M. Permann, “Critical infrastructure interdependency modeling: a survey of U.S. and international research,” Idaho National Laboratory, Idaho Falls, Idaho, INL/EXT-06–11464, 2016.
Crossref
[13]
S. V. Buldyrev, R. Parshani, G. Paul, H. E. Stanley, and S. Havlin, “Catastrophic cascade of failures in interdependent networks,” Nature, vol. 464, no. 7291, pp. 1025–1028, Apr. 2010.
Crossref Google Scholar
[14]
J. Setréus, P. Hilber, S. Arnborg, and N. Taylor, “Identifying critical components for transmission system reliability,” IEEE Transactions on Power Systems, vol. 27, no. 4, pp. 2106–2115, Nov. 2012.
Crossref Google Scholar
[15]
J. F. Donges, H. C. H. Schultz, N. Marwan, Y. Zou, and J. Kurths, “Investigating the topology of interacting networks,” The European Physical Journal B, vol. 84, no. 4, pp. 635–651, Dec. 2011.
Crossref Google Scholar
[16]
S. L. Wang, L. Hong, and X. G. Chen, “Vulnerability analysis of interdependent infrastructure systems: A methodological framework,” Physica A: Statistical Mechanics and its Applications, vol. 391, no. 11, pp. 3323–3335, Jun. 2012.
Crossref Google Scholar
[17]
J. V. Milanović and W. T. Zhu, “Modeling of interconnected critical infrastructure systems using complex network theory,” IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 4637–4648, Sep. 2018.
Crossref Google Scholar
[18]
X. Y. Fan, S. Aksoy, D. X. Wang, Q. H. Huang, J. Ogle, A. Tbaileh, and R. K. Huang, “Automated realistic testbed synthesis for power system communication networks based on graph metrics,” in 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2020, pp. 1–5.
Crossref Google Scholar
[19]
G. F. Riley and T. R. Henderson, “The ns-3 network simulator,” in Modeling and Tools for Network Simulation, K. Wehrle, M. Güneş, and J. Gross, Eds. Berlin, Heidelberg: Springer, 2010, pp. 15–34.
[20]
N. Rhodes, D. Fobes, C. Coffrin, and L. Roald, “PowerModelsRestoration.jl: An Open-Source Framework for Exploring Power Network Restoration Algorithms,” arXiv:2004.13177, 2020.
Crossref Google Scholar
[21]
C. Coffrin, R. Bent, B. Tasseff, K. Sundar, and S. Backhaus, “Relaxations of AC maximal load delivery for severe contingency analysis,” IEEE Transactions on Power Systems, vol. 34, no. 2, pp. 1450–1458, Mar. 2019, .
Crossref Google Scholar
[22]
A. B. Birchfield, T. Xu, K. M. Gegner, K. S. Shetye, and T. J. Overbye, “Grid structural characteristics as validation criteria for synthetic networks,” IEEE Transactions on Power Systems, vol. 32, no. 4, pp. 3258–3265, Jul. 2017.
Crossref Google Scholar
[23]
K. P. Schneider, Y. S. Chen, D. P. Chassin, R. G. Pratt, D. W. Engel, and S. E. Thompson, “Modern grid initiative distribution taxonomy final report,” Pacific Northwest National Lab. (PNNL), Richland, WA (United States), PNNL-18035, 2008.
Crossref
[24]
Q. H. Huang and V. Vittal, “Integrated transmission and distribution system power flow and dynamic simulation using mixed three-sequence/three-phase modeling,” IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 3704–3714, Sep. 2017.
Crossref Google Scholar
[25]
M. Korkali, J. G. Veneman, B. F. Tivnan, J. P. Bagrow, and P. D. H. Hines, “Reducing cascading failure risk by increasing infrastructure network interdependence,” Scientific Reports, vol. 7, pp. 44499, Mar. 2017.
Crossref Google Scholar
[26]
S. Boccaletti, G. Bianconi, R. Criado, C. I. Del Genio, J. Gómez-Gardeñes, M. Romance, I. Sendiña-Nadal, Z. Wang, and M. Zanin, “The structure and dynamics of multilayer networks,” Physics Reports, vol. 544, no. 1, pp. 1–122, Nov. 2014.
Google Scholar
[27]
X. Y. Fan, U. Agrawal, S. Davis, J. O’Brien, P. Etingov, T. Nguyen, Y. Makarov, and N. Samaan, “Bulk electric system protection model demonstration with 2011 southwest blackout in DCAT,” in 2020 IEEE Power & Energy Society General Meeting (PESGM), 2020, pp. 1–5.
Google Scholar
CSEE Journal of Power and Energy Systems
Volume 8 Issue 2,
March 2022
Pages 488-498
DOI: 10.17775/CSEEJPES.2020.05520
Cite this article:
Fu T, Wang D, Fan X, et al. Component Importance and Interdependence Analysis for Transmission, Distribution and Communication Systems. CSEE Journal of Power and Energy Systems, 2022, 8(2): 488-498. https://doi.org/10.17775/CSEEJPES.2020.05520

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Received: 20 October 2020
Revised: 08 February 2021
Accepted: 14 April 2021
Published: 30 December 2021
© 2020 CSEE
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