Title :
A Kalman Filter Approach to Quasi-Static State Estimation in Electric Power Systems
Author :
Blood, E.A. ; Ilic, Marija D. ; Krogh, Bruce H.
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA
Abstract :
Static state estimation in electric power systems is normally accomplished without the use of time-history data. This paper presents preliminary work on the use of the discrete-time Kalman filter to incorporate time history into the state estimators. Transitional state equations are derived via linearization of the power flow equations. A simplified example using a decoupled real power flow solution demonstrates this technique.
Keywords :
Kalman filters; discrete time filters; load flow; power system state estimation; decoupled real power flow solution; discrete-time Kalman filter; electric power systems; power flow equation linearization; quasistatic state estimation; transitional state equations; Blood; Cost function; Electric variables measurement; Equations; Kalman filters; Noise measurement; Power measurement; State estimation; Time measurement; Voltage; Electric Power System; Kalman Filter; Static State Estimation; Time History;
Conference_Titel :
Power Symposium, 2006. NAPS 2006. 38th North American
Conference_Location :
Carbondale, IL
Print_ISBN :
1-4244-0227-1
Electronic_ISBN :
1-4244-0228-X
DOI :
10.1109/NAPS.2006.359606
