ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at firstname.lastname@example.org.
- 1 English
- 1 Public
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, …
- HU, JIALE, Sankar, Lalitha, Vittal, Vijay, et al.
- Created Date