Transient stability assessment of a power system using probabilistic neural network

American Journal of Applied Sciences

Volumn 5, Issue 9, 2008, Pages 1225-1232

  Wahab, Noor Izzri Abdul ^a   Mohamed, Azah ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Dynamic security assessment; Probabilistic neural network; Transient stability assessment

Indexed keywords

EID: 41149114525     PISSN: 15469239     EISSN: 15543641     Source Type: Journal    
DOI: 10.3844/ajassp.2008.1225.1232     Document Type: Article

References (14)

1. Pothisarn, C. and S. Jiriwibhakorn, 2003, Critical clearing time determination of EGAT system using artificial neural networks. IEEE Power Engineering Society General Meeting, 2: 735-738.
2. Sanyal, K. K., 2004, Transient stability assessment using neural - network. IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, 2: 633-637.
3. Bettiol, A.L., A. Souza, J.L. Todesco and J.R. Tesch Jr., 2003. Estimation of critical clearing times using neural networks. IEEE Bologna Power Tech Conference, 3: 6.
4. Krishna, S. and K.R. Padiyar, 2000. Transient stability assessment using artificial neural networks. IEEE International Conference on Industrial Technology, 1: 627-632.
5. Silveira, M.C.G., A.D.P. Lotufo and C.R. Minussi, 2003. Transient stability analysis of electrical power systems using a neural network based on fuzzy ARTMAP. IEEE Bologna PowerTech Conference, 3: 7.
6. Boudour, M. and A. Hellal, 2005. Combined use of supervised and unsupervised learning for power system dynamic security mapping. Eng. Appl. Artificial Intel., 18 (6): 673-683.
7. Sawhney, H. and B. Jeyasurya, 2004. On-line transient stability assessment. using artificial neural network. Large Engineering Systems Conference on Power Engineering, 76-80.
8. Specht, D.F, 1992. Enhancements to probabilistic neural networks. International Joint Conference on Neural Networks, 1: 525-532.
9. Burrascano, P., 1991. Learning vector quantization for the probabilistic neural network. IEEE Trans. Neural Networks, 2 (4): 458-461.
10. Chen, S., C.F.N. Cowan and P.M. Grant, 1991. Orthogonal least squares learning algorithm for radial basis function networks. IEEE Trans. Neural Networks, 2: 302-309.
11. Milano, F., 2005. An open source power system analysis toolbox. IEEE Trans. Power Syst., 20: 1199-1206.
12. Milano, F., 2007. Documentation for power system analysis toolbox.
13. Anderson, P.M. and A.A. Fouad, 2003. Power System Control and Stability. IEEE Press USA, pp: 37-48.
14. Riedmiller, M. and H. Braun, A direct adaptive method for faster backpropagation learning: The RPROP Algorithm. IEEE International Conference on Neural Networks, 1: 586-591.