A GMM-GFM Based Controller for LFC and AVR of a Single Area Power System

In this paper, combination of Generalized Fuzzy Model (GFM) and Gaussian Mixture Model (GMM) based controller is used to determine the optimal parameters of Load Frequency Control (LFC) and Automatic Voltage Regulator (AVR) system of single area power system. GFM combines the advantages of Takagi and Sugeno(T-S) and Mamdani -- Larsen (ML) models of fuzzy logic techniques. In the proposed controller, first membership functions are optimized by GMM and then GFM calculates the final output in single iteration i.e. with no recursions. This is highly desirable in power quality problems. The simulations demonstrate the effective and smooth performance of the power system. Comparative analysis is done between controllers based on Proportional and Integral (PI), T-S model, ML model and GMM & GFM model. Simulated results evince the superiority of the proposed hybrid controller.