An decentralized nonlinear optimal excitation control strategy based on observation decoupled state space model for multi-machine power systems

To improve transient stability of multi-machine power systems, this paper presents a control strategy of generator excitation based on the direct feedback linearization method of nonlinear systems and the optimal control theory of linear systems. Using an observation decoupled state space model of multi-machine power systems, the control rule is easy to be implemented because it needs only local information to drive the subsystems to reach their local equilibrium points, and then the total system is stable. The simulation results show that the proposed method can improve transient stability of multi-machine power systems significantly.