Comparison between WLS and Kalman Filter method for power system static state estimation

Traditional state estimators, which are based on steady state system model, cannot capture the time-history data. The problem of state estimation combined with multiple sets of measurements is posed in a Kalman Filtering scheme, using a discrete-time model. In this paper, the power system state estimation process, based on Kalman Filtering techniques is discussed; an IEEE 6-bus test system is used to compare the performance with the Weighted Least Square (WLS) method.