Intelligent control of SVC using wavelet neural network to enhance transient stability

In order to enhance transient stability in a power system, a new intelligent controller is proposed to control a Static VAR compensator (SVC) located at center of the transmission line. This controller is an online trained wavelet neural network controller (OTWNNC) with adaptive learning rates derived by the Lyapunov stability. During the online control process, the identification of system is not necessary, because of learning ability of the proposed controller. One of the proposed controller features is robustness to different operating conditions and disturbances. The test power system is a two-area two-machine system power. The simulation results show that the oscillations are satisfactorily damped out by the OTWNNC.

► An online trained wavelet neural network (OTWNNC) is used to control an SVC. ► Adaptive learning rates are used to guarantee the convergence of OTWNNC. ► The identification of system is not necessary during the online control process. ► The proposed controller has a robust performance under any circumstance. ► Results show that the transient stability of power system is improved by the OTWNNC.