TY - JOUR
T1 - Comparing the topological and electrical structure of the North American electric power infrastructure
AU - Cotilla-Sanchez, Eduardo
AU - Hines, Paul D.H.
AU - Barrows, Clayton
AU - Blumsack, Seth
N1 - Funding Information:
Manuscript received July 16, 2011; revised December 16, 2011; accepted December 16, 2011. Date of publication February 15, 2012; date of current version November 20, 2012. This work was supported in part by the U.S. National Science Foundation, under Award 0848247, and in part by the U.S. Department of Energy, under Award DE-OE0000447.
PY - 2012
Y1 - 2012
N2 - The topological (graph) structure of complex networks often provides valuable information about the performance and vulnerability of the network. However, there are multiple ways to represent a given network as a graph. Electric power transmission and distribution networks have a topological structure that is straightforward to represent and analyze as a graph. However, simple graph models neglect the comprehensive connections between components that result from Ohm's and Kirchhoff's laws. This paper describes the structure of the three North American electric power interconnections, from the perspective of both topological and electrical connectivity. We compare the simple topology of these networks with that of random, preferential-attachment, and small-world networks of equivalent sizes and find that power grids differ substantially from these abstract models in degree distribution, clustering, diameter and assortativity, and thus conclude that these topological forms may be misleading as models of power systems. To study the electrical connectivity of power systems, we propose a new method for representing electrical structure using electrical distances rather than geographic connections. Comparisons of these two representations of the North American power networks reveal notable differences between the electrical and topological structures of electric power networks.
AB - The topological (graph) structure of complex networks often provides valuable information about the performance and vulnerability of the network. However, there are multiple ways to represent a given network as a graph. Electric power transmission and distribution networks have a topological structure that is straightforward to represent and analyze as a graph. However, simple graph models neglect the comprehensive connections between components that result from Ohm's and Kirchhoff's laws. This paper describes the structure of the three North American electric power interconnections, from the perspective of both topological and electrical connectivity. We compare the simple topology of these networks with that of random, preferential-attachment, and small-world networks of equivalent sizes and find that power grids differ substantially from these abstract models in degree distribution, clustering, diameter and assortativity, and thus conclude that these topological forms may be misleading as models of power systems. To study the electrical connectivity of power systems, we propose a new method for representing electrical structure using electrical distances rather than geographic connections. Comparisons of these two representations of the North American power networks reveal notable differences between the electrical and topological structures of electric power networks.
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U2 - 10.1109/JSYST.2012.2183033
DO - 10.1109/JSYST.2012.2183033
M3 - Article
AN - SCOPUS:84870485080
SN - 1932-8184
VL - 6
SP - 616
EP - 626
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 4
M1 - 6153088
ER -