Parallel and distributed processing in state estimation of power system energy

The fast development in electrical power networks and this consequent complexity, impose a more useful state estimation operational scheme, shortening the time interval between consecutive state estimations. Technical developments in distributed energy management systems (EMS), based on fast data communication networks, open up the possibility of parallel and distributed state estimation implementation. In this paper, some ideas for the implementation of parallel and distributed state estimation in electrical power systems are introduced and discussed. A solution methodology based on conventional state estimation algorithms applicable in local networks is introduced and results obtained with an IEEE test system are analyzed in order to appreciate the performances of the proposed method. An evaluation of the degree of natural decoupling in the state estimation problem is also performed and is compared with the results of computational experiments with standard WLS methods, in the integral and distributed version.