DocumentCode :
2171033
Title :
Genetically optimized neuro-fuzzy PSS for damping modal oscillations of power system
Author :
Singh, N. Ajith ; Shamila, F. ; Muraleedharan, K.A. ; Gomathy, K.
Author_Institution :
Univ. of Kerala, Trivandrum
fYear :
2007
fDate :
20-22 Dec. 2007
Firstpage :
143
Lastpage :
149
Abstract :
An integrated approach of Takagi-Sugeno (TS) fuzzy scheme with a genetic optimization of their parameters has been developed in this paper to design intelligent adaptive controllers for improving the dynamic and transient stability performance of power systems. This concept is applied to power system stabilizer (PSS) connected to a nine bus three machine power system. The rules of the TS-fuzzy scheme are derived from the speed error and their derivatives. Further, to implement this combined scheme only one coefficient in the TS-fuzzy rules needs to be optimized. The optimization of this coefficient as well as the coefficient for auxiliary signal generation is performed through genetic algorithm. The performance of the new controller is evaluated in multimachine power systems subjected to various dynamic and transient disturbances. The new genetic-neuro-fuzzy control scheme exhibits a superior damping performance as well as a greater critical clearing time in comparison to the existing PI and supplementary controller with updating of its parameters through lag-lead compensation. Its simple architecture reduces the computational burden, thereby making it attractive for real-time implementation.
Keywords :
adaptive control; control system synthesis; damping; fuzzy control; genetic algorithms; neurocontrollers; power system control; power system dynamic stability; power system faults; power system transient stability; Takagi-Sugeno fuzzy scheme; auxiliary signal generation; damping modal oscillation; genetic optimization; intelligent adaptive controller design; lag-lead compensation; neuro-fuzzy control PSS; nine bus three machine power system disturbance; power system dynamic stability; power system stabilizer; power system transient stability; Damping modal oscillations; Neural-fuzzy; genetic; intelligent controller; power system stability;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007. ICTES. IET-UK International Conference on
Conference_Location :
Tamil Nadu
ISSN :
0537-9989
Type :
conf
Filename :
4735785
Link To Document :
بازگشت