Propagating Uncertainty in Power-System DAE Models With Semidefinite Programming

This paper outlines a convex-optimization-based method to estimate maximum and minimum bounds on states of differential algebraic equations (DAEs) that describe the electromechanical dynamics of power systems while acknowledging parametric and input uncertainty in the model. The method is based on a...

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Veröffentlicht in:	IEEE transactions on power systems Jg. 32; H. 4; S. 3146 - 3156
Hauptverfasser:	Hyungjin Choi, Seiler, Peter J., Dhople, Sairaj V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algebra Approximation Buses (vehicles) Computational modeling Derivation Differential equations Dynamical systems Mathematical analysis Mathematical model Mathematical models Power system dynamics Propagation Quadratically constrained quadratic programming Semidefinite programming Sensitivity Trajectories Trajectory trajectory sensitivity analysis Uncertainty uncertainty propagation Vehicle dynamics
ISSN:	0885-8950, 1558-0679
Online-Zugang:	Volltext
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