Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks

By Zhifang Wang, Anna Scaglione, Robert J. Thomas. IEEE Transactions on Smart Grid, 2010

295 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/b3f969c3ca0a6e799a12d6539fdb38773f486395

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In Computer Networks and Communications

In Statistical and Nonlinear Physics

Citations in the corpus

Topological properties of medium voltage electricity distribution networks (2018, methodology): “However these work [25], 89 [27] also fall into the HV level.”
The Power Grid as a Complex Network: a Survey (2011, methodology): “Many studies [40, 63, 24, 37, 42] remark the limited value of the average node degree, generally between 2 and 3, for the Power Grid especially if compared to other types of Complex Networks (e.g., the Web, social networks).”
Statistical Considerations in the Creation of Realistic Synthetic Power Grids for Geomagnetic Disturbance Studies (2017, methodology): “Small World networks, as presented in [7] and compared to the power system by many [8], [9], [11]–[13], retain the logarithmic scaling property of random networks.”
Synchronization in complex oscillator networks and smart grids (2012, background): “Since real-world power networks are carefully engineered systems with particular network topologies and parameters, they cannot be reduced to the standard topological random graph models [49], and we do not extrapolate the statistical results from the previous section to power grids.”
For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid (2010, unknown): “iarities in this section of the grid include also the exponential tail of the nodal degree distribution and the heavy tail distribution of the line impedances. In this paper we extend the analysis in [142] to the distribution side of the power grid and we report new results based on a sample 396-nod”
Suppressing cascades of load in interdependent networks (2011, background): “[52] Wang Z, Scaglione A, Thomas RJ (2010) Generating statistically correct random topologies for testing smart grid communication and control networks.”