Design of a power system stabilizer using adaptive-neuro fuzzy logic for a multi-machine system having dynamic loads

This paper attempts to show how a fuzzy logic controller (FLC) is used for the design of a power system stabilizer (PSS) for a multi-machine interconnected power system. It has also been addressed how a fuzzy logic-PSS has been optimized by using an adaptive neuro-fuzzy inference system (ANFIS) based technique. The design objective of the PSS is to supply an external damping torque to an automatic voltage regulator (AVR) of a synchronous generator without affecting the synchronizing torque. The PSS is designed based on the use of FLC by Mamdani and Takagi-Sugeno (T-S) methods for comparison purposes. The designed controllers are tested on a test system having a dynamic load. The simulation results by MATLAB/SIMULINK demonstrate the effectiveness of the ANFIS-PSS over FLC-PSS to control the low frequency electromechanical oscillation of interconnected power systems under severe disturbances with dynamic loads.