The transient stability enhancement of synchronous machine with SMES by using adaptive control

In this study, Parameter Adaptive Control algorithm is applied to a system consisting of the synchronous machine and SMES (superconducting magnetic energy storage) unit for maintaining stability. The control scheme is based on the autoregressive moving average (ARMA) model, which gives explicit identification of the system. Simulation results obtained by using a nonlinear model of the system showed that the application of adaptive control scheme to the system with SMES considerably improves the damping of system post fault.