Mixed integer linear programming formulation for robust state estimation

This paper proposes a mixed integer linear programming (MILP) formulation for robust state estimation (RSE). By using the exactly linearized measurement equations instead of the original nonlinear ones, the mixed integer nonlinear programming (MINP) formulation for RSE is converted to be a MILP one. The proposed formulation can not only guarantee to find the global optimum, but also enhance the computation efficiency significantly, making it very promising for online applications to practical large-scale power systems.