Title :
Efficient computation of covariance matrix entries
Author :
Yuzhang Lin;Ali Abur
Author_Institution :
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States
Abstract :
It was shown earlier that network parameter errors could be identified using their normalized Lagrange multipliers. However, normalization requires computation of their covariance matrix which is computationally very time-consuming, thus limiting its practical use for large-scale systems. This paper presents an effective algorithm to address this shortcoming. The proposed algorithm is described and simulation results are provided to illustrate the dramatic reduction in computational costs for large power systems.
Keywords :
"Computational efficiency","Covariance matrices","State estimation","Jacobian matrices","Algorithm design and analysis","Power systems","Measurement errors"
Conference_Titel :
North American Power Symposium (NAPS), 2015
DOI :
10.1109/NAPS.2015.7335139