Power system state estimation using dispersed particle filter

The paper presents a new approach to particle filtering, i.e. Dispersed Particle Filter. This algorithm has been applied to the power system, but it can also be used in other transmission networks. In this approach, the whole network must be divided into smaller parts. As it has been shown, use of Dispersed Particle Filter improves the quality of the state estimation, compared to a simple particle filter. It has been also checked that communication between subsystems improves the obtained results. It has been checked by means of simulation based on model, which has been created on the basis of knowledge about practically functioning power systems.