A topological analysis of the Italian electric power grid

By Paolo Crucitti, Vito Latora, Massimo Marchiori. 2004

485 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/0adcb5356826aeee02f528f208ab220ce67331b9

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In Computer Networks and Communications

In Statistical and Nonlinear Physics

Citations in the corpus

Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks (2010, background): “Most other studies on the power grid topology, like [2], [4], and [16], concluded that the node degree in a power grid follows an exponential (or equivalently, a geometric) distribution because its empirical probability mass function (PMF) contains an obvious exponential component.”
Dynamically induced cascading failures in power grids (2017, methodology): “In particular, we show that our indicator is capable of identifying the critical links of the network much better than other measures purely based on the topology or steady state of the network, such as the edge betweenness [11, 27, 28].”
Reliability engineering: Old problems and new challenges (2009, background): “For example, the topology of the power grid affects the robustness and stability of power transmission (Carreras et al, 2002; Crucitti et al, 2004; CNIP, 2006; Jonsson et al. 2007; Rosato et al., 2007).”
Spatial Networks (2010, unknown): “1] peaked; n/a n/a n/a Power grid [101] 341 3.”
Modelling interdependent infrastructures using interacting dynamical models (2008, methodology): “This study follows previous works performed to extract, from topological analysis, a number of features of the HVIET (Crucitti et al., 2004; Tiriticco et al., 2006; Rosato et al., 2006a).”
Recurrence networks—a novel paradigm for nonlinear time series analysis (2009, background): “These measures have been successfully applied for studying real-world networks in various scientific disciplines, including the structural properties of infrastructures [25], biological [26], ecological [27] and climate networks [28, 29], to give some prominent examples.”
Network resilience (2020, methodology): “Besides the US power grid, the Italian power grid [634] and the EU grid [622] were also studied using the cascading failure models.”
Correlation analysis of different vulnerability metrics on power grids. (2014, methodology): “There are many models in the literature to capture power flow distribution and redistribution after component failures, such as the direct current based OPA models (a joint effort from the US Oak Ridge National Laboratory, the Power System Engineering Research Center at the University of Wisconsin–M”
Synchronization in complex networks (2008, background): “From its topological point of view there are several analyses on power-grids in different areas of the world [247, 248] and some models have been proposed to deal with the cascading process of failures [249, 250, 251].”
Using Graph Models to Analyze the Vulnerability of Electric Power Networks (2006, background): “(1–3) A few electric power grids have been studied earlier: the western states electricity transmission grid (WECC) in the United States,(4–8) the North American power transmission grid,(9) and the Italian electric power grid.(10) In this article, we first introduce concepts and results from graph t”
Topological properties of medium voltage electricity distribution networks (2018, background): “In the past, the interest of 60 studying the statistical properties, primarily the topological properties of electrical power grid was mainly led by th e 61 major blackouts happened in North America [ 12], [13], Italy [14], Europe [ 15] and few other power grids [ 16].”
Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “Western US power network 4,941 [33] US power network 14,099 [310] Complete US power network 314,123 [317] Italian power network 341 [318] Chinese power network 8,092 [319]”