DocumentCode
541406
Title
Adaptive controller design based on neural network
Author
Peng, Liu ; Wen-hui, Ning ; Dong-shan, Huang
Author_Institution
Guangxi Power Grid Electr. Power Res. Inst., Nanning, China
fYear
2010
fDate
13-16 Sept. 2010
Firstpage
1
Lastpage
8
Abstract
Excitation control is one of the effective means to improve the stability of Power System. Excitation controller, which uses the Nonlinear characteristics and learning ability of Neural network, also the characteristics of adaptive control technology, has strong adaptability and robustness for the nonlinearity and uncertainty of the system. The simulation results to the single machine infinite bus system show that, this controller is more effective in the control, which can also ensure a higher level of voltage control and greater stability margin.
Keywords
adaptive control; control system synthesis; neurocontrollers; nonlinear control systems; power system control; power system stability; robust control; voltage control; adaptive controller design; excitation control; neural network; neural network learning ability; nonlinear characteristics; power system stability; robustness; single machine infinite bus system; voltage control; Adaptive systems; Artificial neural networks; Control systems; Power system stability; Stability analysis; Voltage control; Adaptive control; Excitation control; Neural network; Power System stabilizer (PSS);
fLanguage
English
Publisher
ieee
Conference_Titel
Electricity Distribution (CICED), 2010 China International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4577-0066-8
Type
conf
Filename
5736121
Link To Document