State Estimation in Unbalanced Distribution Networks by Symmetrical Components

State estimation (SE) of a power distribution network plays vital role in the management systems (DMSs). SE results can monitor and counteract grid technical challenges like tracking unbalanced operation condition. In this paper, we propose new approach for system which is based on decomposition original problem into three subproblems by applying symmetrical components. The are lower dimensions solved parallel leading to much less computation time. convex relaxation method applied address nonconvex ac flow equations formulate as semidefinite program (SDP). Furthermore, an algorithm proposed detect attenuate bad data measurements along with solution. IEEE 37- 123-bus test µPMU pseudo measurement. compared those three-phase SDP-based linearized methods. superiority verified terms time accuracy.