Design of a Fuzzy Logic-Based Power System Stabilizer to Improve Transient Stability of Tana Beles Hydropower Plant

Abstract

This paper introduces a fuzzy logic-controlled power system stabilizer to improve the transient stability of Tana Beles Hydro power plant during faulty conditions. The power system stabilizer is integrated into the generator excitation system to enhance the damping effect during low frequency oscillations. To achieve better transient stability, the acceleration and rotor speed deviation of the synchronous machine are used as inputs to the fuzzy logic controller. These variables influence the control of the damping in the generator's mechanical shaft. The designs of system controllers are directly connected to the excitation systems of the plant under wide operating conditions. The system performance has been performed in different scenarios with conventional power system stabilizer (CPSS), PID controller, and fuzzy logic-based power system stabilizer (FLPSS). FLPSS improves settling time of rotor speed, load angle, active power and electrical torque of the plant by 42.9%, 16.7%, 29.2% and 35.7% respectively, over CPSS. Similarly, the system controller improves the settling of rotor speed, load angle, active power and electrical torque of the plant by 33.3%, 9.5%, 29.2% and 25% respectively, over PID controller. The comparison was made between Conventional power system stabilizer (CPSS) and PID controller with Fuzzy logic-based power system stabilizer. The control techniques are simulated over the power transmission single line diagram of Tana Beles Hydropower plant under different scenarios using MATLAB/Simulink software.