A Seidel-Type Recursive Bayesian Approach and Its Applications to Power Systems

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.