DESIGN OF PSS BASED ON ADAPTIVE NEURO-FUZZY METHOD
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A contemporary solution to this problem is the addition of power system stabilizers (PSS) to the automatic voltage regulators on the generators in the power system. The damping provided by this additional stabilizer provides the means to reduce the inhibiting effects of the oscillations. The problem is further being complicated by continuous variation in power system operating conditions. In the simultaneous tuning approach, exhaustive computational tools are required to obtain optimum parameter settings for the PSS, while in the case of sequential tuning, although the computational load is fewer, evaluating the tuning sequence is an additional requirement. There is a further problem of eigenvalue drift. This research presents the PSS model based on adaptive neuro-fuzzy for designing robust power system stabilizers for a multi machine system. The system is simulated in Simulink while the PSS is implemented using Fuzzy Logic Toolbox in Matlab.