Title :
Iteratively reweighted least-squares state estimation through Givens Rotations
Author :
Pires, Robson C. ; Costa, Antonio Simões ; Mili, Lamine
Author_Institution :
Univ. Fed. de Santa Catarina, Florianapolis, Brazil
fDate :
11/1/1999 12:00:00 AM
Abstract :
This paper presents a robust iteratively reweighted least squares (IRLS) method for power system state estimation (PSSE). An orthogonal implementation through Givens Rotations to solve estimators based on nonquadratic criteria is introduced. The nonquadratic criteria are defined based on the robust statistical theory. The weights associated with the measurements include the effects of measurement variances and the location where each measurement is taken. Bad data identification is a byproduct of the proposed method. After bad data identification, no reprocessing is required in order to obtain the correct estimates. The method is validated by using the 14-bus, 30-bus and 118-bus IEEE test systems, in addition to a 340-bus realistic system
Keywords :
iterative methods; least squares approximations; power system state estimation; 118-bus IEEE test system; 14-bus IEEE test system; 30-bus IEEE test system; 340-bus realistic system; Givens Rotations; bad data identification; iteratively reweighted least-squares state estimation; nonquadratic criteria; power system state estimation; robust statistical theory; Covariance matrix; Least squares approximation; Performance evaluation; Pollution measurement; Power systems; Robustness; State estimation; Statistics; System testing; USA Councils;
Journal_Title :
Power Systems, IEEE Transactions on
