Title :
A direct adaptive fuzzy power system stabilizer
Author :
Hosseinzadeh, Nasser ; Kalam, A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Victoria Univ. of Technol., Melbourne, Vic., Australia
fDate :
12/1/1999 12:00:00 AM
Abstract :
A fuzzy power system stabilizer (FPSS) is developed using the concept of fuzzy basis functions. The linguistic rules, regarding the dependence of the plant output on the controlling signal, are used to build the initial FPSS. Based on the Lyapunov´s direct method, an adaptation rule is developed in order to make the FPSS adaptive to changes in operating conditions of the power system. The FPSS is designed for a cogenerator, and simulation studies are based-on a one machine-infinite bus model. Nonlinear simulations reveal that the performance of the adaptive fuzzy power system stabilizer (AFPSS) is better than the performance of a conventional (linear) power system stabilizer (CPSS) and a fixed-parameter FPSS for a wide range of operating conditions
Keywords :
Lyapunov methods; adaptive control; control system analysis; control system synthesis; fuzzy control; power system control; power system stability; Lyapunov´s direct method; cogenerator; control design; control performance; control simulation; direct adaptive fuzzy power system stabilizer; fuzzy basis functions; linguistic rules; nonlinear simulation; one machine-infinite bus model; operating conditions; Adaptive control; Adaptive systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Power system control; Power system modeling; Power system simulation; Power systems; Programmable control;
Journal_Title :
Energy Conversion, IEEE Transactions on
