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Cluster-and-Connect: An Algorithmic Approach to Generating Synthetic Electric Power Network Graphs

Abstract Understanding the graphical structure of the electric power system is important

in assessing reliability, robustness, and the risk of failure of operations of this criti-

cal infrastructure network. Statistical graph models of complex networks yield much

insight into the underlying processes that are supported by the network. Such gen-

erative graph models are also capable of generating synthetic graphs representative

of the real network. This is particularly important since the smaller number of tradi-

tionally available test systems, such as the IEEE systems, have been largely deemed

to be insucient for supporting large-scale simulation studies and commercial-grade

algorithm development. Thus, there is a need for statistical gener... (more)
Created Date 2015
Contributor HU, JIALE (Author) / Sankar, Lalitha (Advisor) / Vittal, Vijay (Committee member) / Scaglione, Anna (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / electrical distance / Power network / Synthetic graph generation
Type Masters Thesis
Extent 64 pages
Language English
Reuse Permissions All Rights Reserved
Note Masters Thesis Electrical Engineering 2015
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis