Reduced order distributed particle filter for electric power grids

The paper develops a fusion-based, reduced order, distributed implementation of the unscented particle filter (FR/DUPF) for state estimation in complex nonlinear electric power grids (EPG). Based on partitioning the overall EPG system into n_sub localized but dynamically coupled subsystems, the near-optimal FR/DUPF provides a computational saving of up to a factor of n_sub over the centralized particle filter. In our Monte Carlo simulations of the IEEE 14-bus test system, the FR/DUPF state estimates are close to the actual values and virtually indistinguishable from the centralized particle filter.