Title :
Static error identification: Application to line parameter estimation
Author :
Zhang, Yan ; Larsson, Mats
Author_Institution :
Southwest Univ., Chongqing, China
Abstract :
This paper made a review of static error identification techniques in power system state estimation. It then illustrated the application of Kalman filter in estimation of static errors, such as line parameters. Using the test cases for line parameter estimation, the paper demonstrated that the simple scheme of resetting of parameter covariance matrix will improve the estimation performance.
Keywords :
covariance matrices; parameter estimation; power systems; state estimation; line parameter estimation; parameter covariance matrix; power system state estimation; static error identification; static errors; Covariance matrix; Kalman filters; Measurement uncertainty; Noise measurement; Parameter estimation; State estimation; Kalman filter tuning; Parameter estimation;
Conference_Titel :
Power System Technology (POWERCON), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-5938-4
DOI :
10.1109/POWERCON.2010.5666599
