Fuzzy-Swarm Controller for Speed-Governor of Synchronous Generator


The main objective of this work is to propose an intelligent controller to enhance the performance of hydraulic turbine speed-governor of a Synchronous Generator (SG) during different loading conditions. The proposed mathematical model of the SG is connected to different loads in two ways. First, each load is connected individually and second, the SG loads change during the operation to ensure the robustness of controller for wide load variations. Two types of controllers are used. The first controller is the Proportional-Integral (PI) based on Particle Swarm Optimization (PSO) technique to obtain optimal gains. The second controller is Fuzzy PD+I with gains and Membership Functions (MFs) tuned by PSO technique. The results show the improvement of PI-PSO performance on conventional PI controller; also show the improvement in the performance of Fuzzy PD+I using PSO technique on PI-PSO.