Stochastic based sensitivity function for model level selection in system simulation

Authors:
A. Benigni;F. Ponci;A. Monti
Affiliations:
RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany;RWTH Aachen University, Aachen, Germany
Venue:
Proceedings of the 2010 Conference on Grand Challenges in Modeling & Simulation
Year:
2010

Citing 2
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High-Order Collocation Methods for Differential Equations with Random Inputs

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Model level selection for the simulation of complex power systems: a test case

Proceedings of the 2011 Grand Challenges on Modeling and Simulation Conference

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Abstract

Simulation in support of design can be facilitated by the automatic selection of model levels for target accuracy and minimum computational cost. A stochastic method is proposed here to represent the difference between levels of the models of the individual components. Based on this representation the levels are selected and the choice is validated on a case study of design of a motor protection.