DocumentCode :
2714339
Title :
Radial basis Function Neural Network based STATCOM controller for power system dynamic stability enhancement
Author :
Datta, Subir ; Roy, A.K.
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol. Silchar, Silchar, India
fYear :
2011
fDate :
28-30 Jan. 2011
Firstpage :
1
Lastpage :
5
Abstract :
The paper presents a new control method based on Neural Network technique to damp out the power system low frequency oscillations using STATCOM controller. The main objective of this paper is to investigate the power system dynamic stability enhancement by using neural network based FACTS (STATCOM) Controller. This study includes Proportional feedback, lead-lag, Radial basis function Neural Network controller. The effectiveness of the new controller is demonstrated through time domain simulation studies. The results of these studies show that the designed controller has an excellent capability in damping power system oscillations.
Keywords :
flexible AC transmission systems; neurocontrollers; power system stability; radial basis function networks; static VAr compensators; FACTS; STATCOM controller; power system dynamic stability enhancement; power system oscillations; radial basis function neural network; Automatic voltage control; Damping; Lead; Oscillators; Power system dynamics; Radial basis function networks; FACTS; Lead-lag; Radial Basis Function Neural Network Controller; STATCOM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics (IICPE), 2010 India International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4244-7883-5
Type :
conf
DOI :
10.1109/IICPE.2011.5728112
Filename :
5728112
Link To Document :
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