Dynamic State Estimation of Nonlinear Differential Algebraic Equation Models of Power Networks

This paper investigates the joint problems of dynamic state estimation algebraic variables (voltage and phase angle) generator states (rotor angle frequency) nonlinear differential equation (NDAE) power network models, under uncertainty. Traditionally, these two have been decoupled due to complexity handling NDAE models. In particular, this offers first attempt solve aforementioned problem in a coupled approach where estimates are simultaneously computed. The proposed algorithm herein is endowed with following properties: (i) it fairly simple implement based on well-understood Lyapunov theory; (ii) considers various sources uncertainty from control inputs, loads, renewables, process measurement noise; (iii) models phasor unit installations at arbitrary buses; (iv) computationally less intensive than literature.