ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC BASED POWER SYSTEM STABILIZER

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ABSTRACT :


A fuzzy logic based adaptive power system stabilizer (PSS) is presented in this paper. The parameters of the fuzzy logic based PSS are tuned by neural networks. The system is divided into two subsystems, a recursive least square identifier with a variable forgetting factor for the generator and a fuzzy logic based adaptive controller to damp oscillations. The effectiveness of the proposed PSS in increasing the damping of local and inter area system; a two area 4 machine. The ANFIS PSS uses a zero order Sugeno type fuzzy logic controller whose membership functions and consequences of also tuned by the back propagation method. The detailed description of the procedure is given in the next sections. Simulation results for a one machine infinite-bus system and one multimachine system are presented to show the effectiveness of the neuro fuzzy-logic in power system stabilizers.