Radial basis function neural network for power system load-flow

International Journal of Electrical Power and Energy Systems

Volumn 30, Issue 1, 2008, Pages 60-66

  Karami, A ^a   Mohammadi, M S ^a  

^a UNIVERSITY OF GUILAN   (Iran)

Author keywords

Multi layer perceptron neural network; Power systems load flow; Radial basis function neural network

Indexed keywords

APPROXIMATION ALGORITHMS; COMPUTER SIMULATION; ELECTRIC POWER SYSTEMS; ITERATIVE METHODS; LINEAR ALGEBRA; NUMERICAL METHODS;

MULTI-LAYER PERCEPTRON (MLP); MULTI-LAYER PERCEPTRON NEURAL NETWORKS; POWER SYSTEMS LOAD-FLOW;

RADIAL BASIS FUNCTION NETWORKS;

EID: 37249088024     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2007.10.004     Document Type: Article

References (23)

1. Stevenson W.D. Elements of power system analysis. 4th ed. (1982), McGraw-Hill
2. Glover J.D., and Sarma M. Power system analysis and design with personal computer applications. 2nd ed. (1994), PWS Publishing Company, Boston
3. Paucar V.L., and Rider M.J. Artificial neural networks for solving the power flow problem in electric power systems. Electr Power Syst Res 62 (2002) 139-144
4. Sobajic D.J., and Pao Y.H. Artificial neural-net based dynamic security assessment for electric power systems. IEEE Trans Power Syst 4 1 (1989) 220-228
5. Weerasooriya S., El-Sharkawi M.A., Damborg M., and Marks II R.J. Towards static security assessment of a large scale power system using neural networks. IEE Proc-C 139 (1992) 64-70
6. Zhou Q., Davidson J., and Fouad A.A. Application of artificial neural networks in power system security and vulnerability assessment. IEEE Trans Power Syst 9 1 (1994) 525-532
7. Hobsen E., and Allen G.N. Effectiveness of artificial neural networks for first swing stability determination of practical power systems. IEEE Trans Power Syst 9 2 (1994) 1062-1068
8. Aboytes F., and Ramirez R. Transient stability assessment in longitudinal power systems using artificial neural networks. IEEE Trans Power Syst 11 4 (1996) 2003-2010
9. Mansour Y., Chang A.Y., Tamby J., Vahedi E., Corns B.R., and Sharkawi M.A. Large scale dynamic security screening and ranking using neural networks. IEEE Trans Power Syst 12 2 (1997) 954-960
10. Nguyen T.T. Neural network load-flow. IEE Proc Gener Transm D 142 1 (1995) 51-58
11. Menhaj MB, Karami A. Neural networks for power system load-flow. In: Proceedings of the IASTED international conference on applied modelling and simulation, Banff, Canada; 1997. p. 216-20.
12. Refaee J.A., Mohandes M., and Maghrabi H. Radial basis function networks for contingency analysis of bulk power systems. IEEE T Power Syst 14 2 (1999) 772-778
13. Haykin S. Neural networks: a comprehensive foundation. 2nd ed. (1999), Prentice-Hall, Englewood Cliffs, NJ
14. Bahbah A.G., and Girgis A.A. New method for generators' angle and angular velocities prediction for transient stability assessment of multimachine power systems using recurrent artificial neural network. IEEE Trans Power Syst 19 2 (2004) 1015-1022
15. Jain T., Srivastava L., and Singh S.N. Fast voltage contingency screening using radial basis function neural network. IEEE Trans Power Syst 18 4 (2003) 1359-1366
16. Karayiannis N.B., and Mi G.W. Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques. IEEE Trans Neural Networks 8 6 (1997) 1492-1506
17. Srivastava L., Singh S.N., and Sharma J. Comparison of feature selection techniques for ANN based voltage estimation. Electr Power Syst Res 53 (2000) 187-195
18. Pai M.A. Energy function analysis for power system stability (1989), Kluwer Academic Publishers, Boston
19. Pao Y.H., and Sobajic D.J. Combined use of unsupervised and supervised learning for dynamic security assessment. IEEE Trans Power Syst 7 2 (1992) 878-884
20. Neural networks toolbox user's guide for use with Matlab 7. The Mathworks Inc., 2005.
21. Jensen C.A., El-Sharkawi M.A., and Marks II R.J. Power system security assessment using neural networks: feature selection using Fisher discrimination. IEEE Trans Power Syst 16 4 (2001) 757-763
22. Kwak N., and Choi C.-H. Input feature selection for classification problems. IEEE Trans Neural Networks 13 1 (2002) 143-159
23. Niazi K.R., Arora C.M., and Surana S.L. Power system security evaluation using ANN: feature selection using divergence. Electr Power Syst Res 69 (2004) 161-167