Reduced-order synchrophasor-assisted state estimation for smart grids

Phasor measurement units (PMUs) are being increasingly deployed in power systems where they are used for state estimation (SE) among other applications. In this paper, we present a computationally efficient approach to SE based on model-order reduction. The proposed algorithm operates separately on PMU measurements and on conventional measurements, using reduced-dimension matrices. This approach reduces the computational load considerably without significantly affecting accuracy. Moreover, this scheme supports distributed implementation and is numerically stable. The performance of the proposed estimation algorithm is examined with the IEEE 14-bus system and compared with existing schemes in the literature.