Decentralized unscented Kalman filter based on a consensus algorithm for multi-area dynamic state estimation in power systems
A decentralized unscented Kalman filter for multi-area dynamic state estimation in power systems is proposed. The detailed consensus algorithm is presented. Comparison of the results reveals the impressiveness of the algorithm.
unscented kalman filter consensus algorithm dynamic state estimation multi-area power system