Study of Estimating Dynamic State Jacobian Matrix and Dynamic System State Matrix Based on PMU

摘要

Our power system is dynamic in nature, changes occur very rapidly. Stability condition of power system need to be assessed continuously to prevent collapse of power grid. Stability of power system can be estimated with dynamic state Jacobian Matrix and dynamic system state matrix with help of Synchrophasor measurements. In this paper, a Synchrophasor measurement-based method has been studied to calculate the dynamic state Jacobian matrix and Dynamic system state matrix in varying load conditions. A case study on WSCC 9-bus, 3-machine system has been performed in Digsilent Power factory Simulator Software for simulation of ambient conditions. The critical Eigen values are estimated for the System state matrix to show a good measure of proximity of stability.