Dynamic State Estimation of Generator Using PMU Data with Unknown Inputs

摘要

In this paper, a Kalman filter and particle filter based dynamic state estimation method are proposed for nonlinear systems with unknown inputs. In the proposed method, the dynamic states of a generation system are estimated in three stages. At the first