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Performance Improvement Of AGC By ANFIS

.M.Kannan , P.K.Arun Kumar , M.Poomanirajan

Frequency deviations and inter-area tie-line power fluctuations by a local load disturbance are a source of interconnected power system operation and control. This paper describes the application of artificial neural network (ANN) based Adaptive Neuro-Fuzzy Inference system (ANFIS) for automatic generation control (AGC) of a three area hydro-thermal system. The proposed technique combines the advantages of fuzzy logic controller and adaptability nature of ANN. The objective of design is to improve the AGC performance by damping the frequency deviations and tie-line power fluctuations in the interconnected power system. Simulation result shows the comparison of Integral controller, Fuzzy logic controller (FLC) and ANFIS controller. The results indicate that ANFIS controller exhibits better performance than other controllers.