The M-robust approach to power system steady state estimation and measurement applications in power systems

This paper considers an approach to the estimation of the amplitude of a stochastic signal, based on the maximum likelihood estimation, named M-estimation. The proposed approach is further used to build a new bad data suppression type algorithm for estimating parameters or states in the linear regression static model of a system. The feasibility of the approach is demonstrated with both simulated and experimental data concerning the application in power measurements and power system steady state estimation.