A fuzzy logic-based self tuning power system stabilizer optimized with a genetic algorithm

摘要

This paper presents an approach for designing power system stabilizers (PSS) with a fuzzy logic based parameter tuner. In the initial design step, Prony analysis is used to identify linear models for t he synchronous generator at a large number of operating point, consisting of various power outputs, and machine terminal voltages. Next, optimal parameter settings for a conventional PSS are generated using the linearized models. Form the operating point settings, a selection of fuzzy rules is used to tune the Stabilizer parameters online according to real-time measurements.