Development of adaptation methods of fuzzy logic power system stabilizers

This paper presents an adaptive fuzzy logic power system stabilizer (FLPSS). A two-stage technology of FLPSS adaptation is considered taking into account real conditions in a bulk electric power system. A genetic algorithm (GA) is applied for tuning parameters of FLPSS. An artificial neural network (ANN) is used on-line to adapt the FLPSS to changes in operating conditions