Title :
Neuro-fuzzy dual input power system stabilizer for a multimachine system
Author :
Sharma, Avdhesh ; Kothari, M.L.
Author_Institution :
Dept. of Electr. Eng., J. N. V. Univ., Jodhpur, India
Abstract :
In this paper a novel technique for real-time tuning of the parameters of the dual input power system stabilizers in a multimachine system using neuro-fuzzy system, is presented. A systematic approach for generating training patterns and training of the neuro-fuzzy system is presented. Investigations reveal that the performance of neuro-fuzzy dual input power system stabilizers in a multimachine system is quite robust under wide variations in loading conditions.
Keywords :
adaptive control; fuzzy control; inference mechanisms; intelligent control; neurocontrollers; power system analysis computing; power system control; power system stability; adaptive network fuzzy inference system; adaptive power system stabilizer; dual input power system stabilizer; generating training patterns; intelligent controllers; multimachine system; neuro-fuzzy controllers; real-time tuning; Adaptive systems; Control systems; Fuzzy neural networks; Mathematical model; Power system analysis computing; Power system dynamics; Power system modeling; Power systems; Real time systems; Tuning;
Conference_Titel :
Power Systems Conference and Exposition, 2004. IEEE PES
Print_ISBN :
0-7803-8718-X
DOI :
10.1109/PSCE.2004.1397670
