DocumentCode :
404060
Title :
Incorporating generator exciter dynamics in an observability formulation for nonlinear power systems
Author :
Dafis, Chris J. ; Nwankpa, Chika O.
Author_Institution :
Center for Electr. Power Eng., Drexel Univ., Philadelphia, PA, USA
Volume :
4
fYear :
2003
fDate :
9-12 Dec. 2003
Firstpage :
3888
Abstract :
This paper extends the proposed observability formulation for nonlinear power systems modeled as a set of Differential Algebraic equations by including additional generator dynamics, and focusing on the impact these additional dynamics have on the overall system observability formulation. In particular, the generator exciter dynamics are included in the power system model (using a network-preserving model of the system), and the observability formulation is determined for this enhanced power system model. The resulting observability Jacobian is compared to the case where the system generators are modeled using only the swing equation, and an example is presented to illustrate the steps needed to construct the observability Jacobian, and evaluate regions in the system state-space where the observability Jacobian is singular, and the system is therefore no longer observable.
Keywords :
Jacobian matrices; differential equations; exciters; nonlinear systems; observability; power system simulation; state-space methods; differential algebraic equations; generator exciter dynamics; network preserving model; nonlinear power systems; observability Jacobian; observability formulation; power system model; state space methods; swing equation; Differential algebraic equations; Jacobian matrices; Nonlinear dynamical systems; Nonlinear equations; Observability; Power generation; Power measurement; Power system dynamics; Power system measurements; Power system modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-7924-1
Type :
conf
DOI :
10.1109/CDC.2003.1271756
Filename :
1271756
Link To Document :
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