Title :
A nonlinear observability formulation for power systems incorporating generator and load dynamics
Author :
Dafis, Chris J. ; Nwankpa, C.O.
Author_Institution :
Center for Electr. Power Eng., Drexel Univ., Philadelphia, PA, USA
Abstract :
Traditionally, observability in power systems is derived from the state-estimation problem and is based on a non-linear algebraic model of the system. This measure of system observability focuses on the sensitivity of the system measurements to the change In the system states. Since the model of the system used is an algebraic model, describing the flow of power throughout the network, the non-linear dynamics of the system related to generator performance and non-linear components are ignored. The proposed observability formulation accounts for these non-linearities and provides a more comprehensive observability determination with the ability to track the observability determination of the system along the trajectory of the dynamic system states. The observability formulation of the system is sensitive to the trajectories of the system states, and the regions of the statespace where the system observability is lost are presented. A qualitative analysis for the limits of the observability formulation is presented for a 3-bus power system.
Keywords :
electric generators; load (electric); nonlinear dynamical systems; observability; power system state estimation; 3-bus power system; algebraic model; dynamic system states; generator dynamics; generator performance; load dynamics; nonlinear algebraic model; nonlinear components; nonlinear dynamics; nonlinear observability formulation; observability; power flow; power system observability; power systems; qualitative analysis; state-estimation; state-space regions; system measurement sensitivity; system observability; Admittance measurement; Differential algebraic equations; Differential equations; Nonlinear dynamical systems; Nonlinear equations; Observability; Power generation; Power system dynamics; Power system modeling; Trajectory;
Conference_Titel :
Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
Print_ISBN :
0-7803-7516-5
DOI :
10.1109/CDC.2002.1184202