Design of ANFIS Controller for Power System Stability Enhancement Using FACTS Device

Artificial Neuro Fuzzy Inference System (ANFIS) is applied to design static synchronous series compensator based damping controller for the improvement of small signal stability. The proposed controller is implemented in the single machine system. The generated database from conventional static synchronous series compensator based damping controller is used for training the ANFIS. Bacterial foraging optimization algorithm (BFOA) is employed for optimal controller parameter selection. Simulation is done for four cases namely single machine without damping controller, with SSSC and without damping controller, with SSSC based damping controller and with SSSC based ANFIS controller. Simulation results shows that the SSSC based ANFIS controller provide efficient damping and improves the small signal stability of power system when compared to conventional damping controller.