In this paper, Adaptive Neuro‐Fuzzy Inference System (ANFIS) method based on the Artificial Neural Network (ANN) is applied to design a Static Synchronous Series Compensator (SSSC)‐based controller for improvement of transient stability. The proposed ANFIS controller combines the advantages of fuzzy controller and quick response and adaptability nature of ANN. The ANFIS structures were trained using the generated database by fuzzy controller of SSSC. It is observed that the proposed SSSC controller improves greatly the voltage profile of the system under severe disturbances. The results prove that the proposed SSSC‐based ANFIS controller is found to be robust to fault location and change in operating conditions. Further, the results obtained are compared with the conventional lead‐lag controllers for SSSC.
['Swasti R. Khuntia', 'Sidhartha Panda']
ANFIS APPROACH FOR SSSC CONTROLLER DESIGN FOR THE IMPROVEMENT OF TRANSIENT STABILITY PERFORMANCE