A new attempt of using iterative learning control in solving power system transient stability problem

Transient stability is the key problem of power system stability research. Power system is a nonlinear complex system with uncertainty in both mathematical model and disturbances, so it is important to find an adaptive control strategy independent of the detailed model. In some load conditions, negative damping will appear and oscillation will be deteriorated if the controller of STATCOM is short of adaptability. Iterative learning control (ILC) is used as the supplementary control method of FACTS controller to damp inter-area oscillation for the first time. The convergence of the used algorithm is proved. The digital simulation results both on TCSC and STATCOM prove that ILC is more adaptive than the traditional fixed-gain control in FACTS device control.