| dc.description.abstract | 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. | |
