Application of Fuzzy Logic PSS to Enhance Transient Stability in Large Power Systems

The paper presents an application of fuzzy logic power system stabilizers (FLPSS) to enhance transient stability in large electric power systems. A two-stage technology of FLPSS adaptation is considered taking into account the real conditions of a power system. Self-organizing artificial neural network (ANN) is used for clusterization of the test disturbances. A genetic algorithm (GA) is applied to tuning parameters of FLPSS. ANN is used on-line to adapt FLPSS to changes in operating conditions. The studies have been conducted using the models of a 14-bus multi-machine power system and regional Siberian power system as the study cases. The results obtained are presented.