Intelligent control of SVC using wavelet neural network to enhance transient stability

Engineering Applications of Artificial Intelligence

Volumn 26, Issue 1, 2013, Pages 273-280

  Farahani, Mohsen ^a  

^a BU ALI SINA UNIVERSITY   (Iran)

Author keywords

Adaptive learning rates (ALRs); Intelligent controller; Static VAR compensator (SVC); Transient stability; Wavelet Neural Network (WNN)

Indexed keywords

ADAPTIVE LEARNING RATES; INTELLIGENT CONTROLLERS; LEARNING ABILITIES; LYAPUNOV STABILITY; ON-LINE CONTROLS; OPERATING CONDITION; STATIC VAR COMPENSATORS; TEST POWER; TWO-MACHINE SYSTEMS; WAVELET NEURAL NETWORKS;

ELECTRIC NETWORK TOPOLOGY; INTELLIGENT CONTROL; NEURAL NETWORKS; STABILITY;

CONTROLLERS;

EID: 84870064230     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2012.05.006     Document Type: Article

References (19)

1. Majdi M. Alomari, and Jian Guo Zhu Bifurcation control of subsynchronous resonance using TCSC Commun. Nonlinear Sci. Numer. Simulat. 16 5 2011 2363 2370
2. J. He, and O.P. Malik An adaptive power system stabilizer based on recurrent neural networks IEEE Trans. Energy Convers. 12 4 1997 413 418
3. Narain G. Hingorani, and Laszlo Gyugyi Understanding FACTS, Concepts and Technology for Flexible AC Transmission Systems 2000 IEEE Press
4. Fernando Cattan Jusan, Sergio Gomes Jr.; and Glauco Nery Taranto SSR results obtained with a dynamic phasor model of SVC using modal analysis Electr. Power Energy Syst. 32 6 2010 571 582
5. Y. Oussar, I. Rivals, L. Personnaz, and G. Dreyfus Training wavelet networks for nonlinear dynamic input-output modeling Neurocomputing 20 1-3 1998 173 188
6. Y. Oussar, and G. Dreyfus Initialization by selection for wavelet network training Neurocomputing 34 1-4 2000 131 143
7. M.R.A. Pahlavani, and H.A. Mohammadpour Damping of sub-synchronous resonance and low-frequency power oscillation in a series-compensated transmission line using gate-controlled series capacitor Electr. Power Syst. Res. 81 2 2011 308 317
8. K.R. Padiyar, and N. Prabhu Design and performance evaluation of subsynchronous damping controller with STATCOM IEEE Trans. Power Delivery 21 3 2006 1398 1405
9. Sidhartha Panda Multi-objective evolutionary algorithm for SSSC-based controller design Electr. Power Syst. Res. 79 6 2009 937 944
10. D. Rai, S.O. Faried, G. Ramakrishna, and A. Edris Hybrid series compensation scheme capable of damping subsynchronous resonance IET Gener. Transm. Distrib. 4 3 2010 456 466
11. P. Shamsollahi, and O.P. Malik Design of a neural adaptive power system stabilizer using dynamic back-propagation method Electr. Power Energy Syst. 22 2000 9 34
12. K.C. Sindhu Thampatty, M.P. Nandakumar, and Elizabeth P. Cheriyan Adaptive RTRL based neurocontroller for damping subsynchronous oscillations using TCSC Eng. Appl. Artif. Intell. 24 1 2011 60 76
13. H.F. Wang Static synchronous series compensator to damp power system oscillations Electr. Power Syst. Res. 54 2 2000 113 119
14. R.J. Wai, and J.M. Chang Intelligent control of induction servo motor drive via wavelet neural network Electr. Power Syst. Res. 61 1 2002 67 76
15. Q.H. Wu, B.W. Hogg, and G.W. Irwin A neural network regulator for turbogenerators IEEE Trans. Neural Networks 3 1 1992 95 100
16. S.J. Yoo, J.B. Park, and Y.H. Choi Indirect adaptive control of nonlinear dynamic systems using self recurrent wavelet neural networks via adaptive learning rates Inform. Sci. 177 15 2007 3074 3098
17. S.J. Yoo, J.B. Park, and Y.H. Choi Stable predictive control of chaotic systems using self-recurrent wavelet neural network Int. J. Control Automat. Syst. 3 1 2005 43 55
18. J. Zhang, G. Walter, Y. Miao, and W.N.W. Lee Wavelet neural networks for function learning IEEE Trans. Signal Process. 43 6 1995 1485 1497
19. Q. Zhang, and A. Benveniste Wavelet networks IEEE Trans. Neural Networks 3 6 1992 889 898