Title :
Analysis of the results of on-line electric power system state estimation
Author :
Glazunova, A.M. ; Kolosok, I.N.
Author_Institution :
Energy Syst. Inst., Irkutsk, Russia
Abstract :
The paper deals with an optimal choice of statement of the on-line state estimation (SE) problem for electric power systems (EPS). The solutions to the problem should be accurate and the time required to obtain them - fast. The work suggests a combination of dynamic and pseudodynamic algorithms to be applied for EPS state estimation.
Keywords :
power system state estimation; EPS; electric power system; on-line SE problem; on-line state estimation problem; pseudodynamic algorithm; Databases; Filtering; Heuristic algorithms; Mathematical model; Measurement uncertainty; State estimation; Voltage measurement; Kalman filter; SCADA; dynamic state estimation; phasor measurement units (PMUs); state vector;
Conference_Titel :
PowerTech, 2011 IEEE Trondheim
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-8419-5
Electronic_ISBN :
978-1-4244-8417-1
DOI :
10.1109/PTC.2011.6019156
