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A Decentralized Information Filter for the State Estimation in Electrical Power Systems

This paper shows the performance of a state estimator based on a decentralized information filter applied to an electric power system for avionic and naval applications. The main characteristics of this type of approach are firstly the increased computational efficiency, due to the parallel distribution of the computational burden among the local estimators, secondly an increased reliability of the estimator do to the distribution of the resources and thirdly the scalability of the estimation system.