DocumentCode :
384785
Title :
ANN based multiple power system stabilizers adaptive and coordinated control
Author :
Dong-jie, Xu ; Ren-mu, He ; Tao, Xu
Author_Institution :
North China Electr. Power Univ., Beijing, China
Volume :
1
fYear :
2002
fDate :
13-17 Oct 2002
Firstpage :
361
Abstract :
Application of artificial neural network (ANN) in the design of an adaptive power system stabilizer is presented in this paper. ANN and Prony analysis were used to track the dynamic characteristics of the generator and the power systems, then the controller is designed. Test results show that the proposed ANN PSS can perform well over a wide range of operating conditions and provide better dynamic performance than a fix parameter conventional PSS (CPSS).
Keywords :
adaptive control; damping; neurocontrollers; oscillations; power system control; power system stability; ANN; ANN PSS; Prony analysis; adaptive control; adaptive power system stabilizer; artificial neural network; controller; coordinated control; damping; generator dynamic characteristics tracking; low frequency oscillations; multiple power system stabilizers; Adaptive control; Adaptive systems; Artificial neural networks; Character generation; Control systems; Power system analysis computing; Power system control; Power system dynamics; Power systems; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
Type :
conf
DOI :
10.1109/ICPST.2002.1053566
Filename :
1053566
Link To Document :
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