Simultaneously tuning decentralized nonlinear optimal excitation controllers in multimachine power systems

This paper proposes an approach to simultaneously designing multiple decentralized nonlinear optimal excitation controllers to achieve rotor angle stability improvement and good trade-off between voltage regulation and oscillation damping in multimachine power systems. The approach includes: (1) building a novel state-space mathematical model based on nonlinear feedback compensation, (2) properly formulating the control problem and (3) developing a more quick and accurate algorithm to solve the problem. Case studies are fulfilled in a two-area four-machine power system to verify the effectiveness of the approach. Digital simulation results show that the controllers designed with the proposed method gain much priority over traditional AVR/PSS in damping power oscillation, improving voltage regulation and enhancing transfer capability.