A fuzzy logic based adaptive power system stabilizer

This paper presents an approach for designing fuzzy logic based adaptive power system stabilizers. In the initial design step, Prony analysis is used to identify linear models of a synchronous generator at a large number of operating points, consisting of various power outputs and machine terminal voltages. Next, optimal parameter settings for a conventional power system stabilizer (PSS) are generated using the linearized models. From the operating point settings, a selection of fuzzy rules are derived to tune the stabilizer online according to real-time measurements. Simulation studies of this fuzzy adaptive PSS show that it performs well over a wide range of operating conditions and provides better dynamic performance than a fixed parameter conventional PSS