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

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2 Author(s)
Etingov, P.V. ; Energy Syst. Inst., Irkutsk ; Voropai, N.I.

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.

Published in:

Power Electronics, Drives and Energy Systems, 2006. PEDES '06. International Conference on

Date of Conference:

12-15 Dec. 2006