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Dispersed Filters for Power System State Estimation


[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ 2 ] Instytut Elektrotechniki i Elektroniki Przemysłowej, Wydział Elektryczny, Politechnika Poznańska | [ D ] phd student | [ P ] employee

Year of publication


Chapter type


Publication language


  • dispersed filters
  • state estimation
  • particle filter
  • power system

EN The article proposes an approach to power system state estimation allowing the division of the network into smaller parts and performing calculations for each part at the same time. The latter can be implemented in parallel, but the main aim has been to propose a method for dispersed calculations, i.e. calculations that may be performed on computing units located at various points of the whole power system. In the paper, there are 3 algorithms for which dispersed versions have been proposed: Extended Kalman Filter, Particle Filter and Extended Kalman Particle Filter. As a result of the simulations, it has been verified that the Dispersed Particle Filter works better than simple Particle Filter. In two other cases, distributed algorithms work worse, but for the Extended Kalman Filter degradation in the estimation quality is not significant.

Pages (from - to)

129 - 133





19th International Conference on Methods and Models in Automation and Robotics (MMAR 2014), Miedzyzdroje, 2-5 Sept. 2014

Presented on

19th International Conference on Methods and Models in Automation and Robotics (MMAR 2014), 2-5.09.2014, Międzyzdroje, Poland

Publication indexed in

WoS (15)

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