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Evaluating the impact of modeling assumptions for cascading failure simulation

TitleEvaluating the impact of modeling assumptions for cascading failure simulation
Publication TypeConference Paper
Year of Publication2012
AuthorsFitzmaurice, R., E. Cotilla-Sanchez, and P. Hines
Conference Name2012 IEEE Power & Energy Society General Meeting
Pagination1 - 8
Date Published07/2012
Conference LocationSan Diego, CA
ISBN Number978-1-4673-2728-2
Keywordscascading failure, linear dynamic model, quasi-steady state model, transient behavior

Because of the complicated combination of mechanisms that combine to produce large power system failures, the simulation of cascading failure requires some modeling assumptions. In this paper we compare three models of cascading failure in electrical power systems under various assumptions. In the first, we combine dynamic generator models with a DC power flow network model, and use time-delayed (memory) relays to simulate branch failure. In the second, we simulate cascading with the use of sequential power flow calculations. In the third, we simulate cascading using a simple topological contagion model. The results indicate that the dynamical and the quasi-steady state (QSS) simulations show substantial agreement, whereas the topological model differs significantly. We also find that the extent of the agreement between the dynamical and the QSS model largely depends on the way in which branch failures occur.