Investigation on Damping of Oscillations in Power System using Neuro-Fuzzy Controller

A power system stabilizer (PSS) installed in the excitation system of the synchronous generator improves the small-signal power system stability by damping out low frequency oscillations in the power system. This paper introduces a neural network to tune the fuzzy-logic power system stabilizer (FPSS) which has been designed to provide a supplementary signal to the excitation system of the synchronous generator. This mechanism of tuning the FPSS by the neural network makes the FPSS adaptive to changes in the operating conditions. The performance of neuro-fuzzy power system stabilizer (NFPSS) is investigated by applying to a single machine infinite bus (SMIB) system. The simulations have been tested under different fault conditions and the obtained results show that the proposed controller for stabilizing power system can provide very good damping characteristic, comparing with the conventional PSS and FPSS, through wide range of operating condition for power system and improves dynamic stability of the power system substantially.