Title :
A Seidel-Type Recursive Bayesian Approach and Its Applications to Power Systems
Author :
Yanbo Chen ; Feng Liu ; Guangyu He ; Shengwei Mei
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Abstract :
This letter proposes a Seidel-type recursive Bayesian approach for the power system parameter estimation. By timely using the latest probabilities calculated in the current iteration instead of the posteriori probabilities obtained in the last iteration, the proposed approach significantly enhances the efficiency and robustness of the recursive Bayesian estimation, especially in case of large noise.
Keywords :
Bayes methods; power system parameter estimation; recursive estimation; Seidel-type recursive Bayesian approach; noise; posteriori probability; power system parameter estimation; Bayesian methods; Estimation; Hidden Markov models; Mathematical model; Noise; Power systems; Recursive Bayesian probability; Seidel-type recursive Bayesian approach; topology error identification;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2187125
