“…Meanwhile, since the power system is subject to variations like the changes in system configuration and the loading, it is a highly nonlinear dynamic system [7]. Therefore, many advanced control approaches, such as feedback linearization control [1,8], nonlinear predictive control [9], fuzzy control [10,11], neural networks [12], synergetic control [13] and chaotic optimization algorithm [14] have been designed to achieve high dynamic performance under large and unexpected contingencies. These advanced controls enable operating region to be extended and transient stability to be partly improved, yet the control systems are still sensitive to the plant parameter variations and external disturbances.…”