Title :
Application of fuzzy logic power system stabilizers to transient stability improvement in a large electric power system
Author :
Voropai, N.I. ; Etingov, P.V.
Author_Institution :
Energy Syst. Inst., Irkutsk, Russia
Abstract :
This paper presents an application of fuzzy logic power system stabilizer (FLPSS) to the large electric power system (EPS). Application of the self-organizing artificial neural network (ANN) is suggested to clusterization of the estimating disturbances. Tuning parameters of FLPSS is considered by using a genetic algorithm (GA).
Keywords :
fuzzy set theory; genetic algorithms; power system analysis computing; power system transient stability; self-organising feature maps; fuzzy logic power system stabilizers; genetic algorithm; large electric power system; parameters tuning; self-organizing artificial neural network; transient stability improvement; Acceleration; Application software; Artificial neural networks; Fuzzy logic; Fuzzy systems; Genetic algorithms; Power system stability; Power system transients; Regulators; Tuning;
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
DOI :
10.1109/ICPST.2002.1047597
