Transient stability assessment in longitudinal power systems using artificial neural networks

IEEE Transactions on Power Systems

Volumn 11, Issue 4, 1996, Pages 2003-2010

  Aboytes, F ^a,b   Ramirez R ^a,b  

^a Centro Nacional de Control de Energía Comisión   (Mexico)

^b UNIVERSIDAD AUTÓNOMA DE NUEVO LEÓN   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; ELECTRIC NETWORK TOPOLOGY; GRAPHIC METHODS; NEURAL NETWORKS; ONLINE SYSTEMS; STABILITY CRITERIA; SYSTEM STABILITY; TRANSIENTS;

DISCRETE SUPPLEMENTARY CONTROLS (DSC); LONGITUDINAL POWER SYSTEM; TRAINING SPACE PATTERNS; TRANSIENT STABILITY ASSESSMENT (TSA);

ELECTRIC POWER SYSTEMS;

EID: 0030288604     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/59.544677     Document Type: Article

References (16)

1. N. Balu et alOn Line Power System Security Analyis, Proceedings of the IEEE, Vol. 80, No. 2, Feb. 1992.
2. C. PottleR.J. Thomas, S. Gruber, Rapid Analysis of Transient Stability. Computer Hardware Solutions, Rapid Analysis of Transient Stability, publication No. 87TH0169-3-PWR, pp. 24-29.
3. A.A. FouadApplications of Transient Energy Functions to Practical Power System Problems, Idem, pp. 8-15.
4. L. WehenkelM. Pavella, E. Euxibie, B. Heilbronn, Decision Tree Based Transient Stability Method. A Case Study, IEEE Transactions on Power Systems, Vol. 9, No. 1, pp. 459-469, February 1994.
5. F.S. PrabhakaraG.T. Heydt, Review of Pattern Recognition Methods for Rapid Analysis of Transient Stability, Rapid Analysis of Transient Stability, publication No. 87TH0169-3-PWR, pp. 16-23.
6. F.F. WuYu-Kun Tsai, Yi-Xin Yu, Probabilistic Steady-State and Dynamic Security Assessment, IEEE Transactions on Power Systems, Vol. 3, No. 1, pp. 1-9, February 1988.
7. D.J. SobajicYoh-Han Pao, Artificial Neural-Net based Dynamic Security Assessment for Electric Power Systems, IEEE Transactions on Power Systems, Vol. 4, No. 1, Feb. 1989.
8. Yoh-Han PaoD.J. Sobajic, Combined use of Unsupervised and Supervised Learning for Dynamic Security Assessment, IEEE Transactions on Power Systems, Vol. 7, No. 2, May 1992.
9. M. AggouneM.A. El-Sharkawi, D.C. Park, R.J. Marks III, Preliminary Results on Using Artificial Neural Networks for Security Assessment, IEEE Transactions on Power Systems, Vol. 6, No. 2, May 1991.
10. V. MirandaJ.N. Fidalgo, J.A. Pecas Lopes, L.B. Almeida, Real Time Preventive Actions for Transient Stability Enhancement with a Hybrid Neural Network - Optimization Approach, paper 94SM517-3 PWRS presented at IEEE-PES 1994 Summer Meeting, July 1994.
11. K. FukunagaIntroduction to Statistical Pattern Recognition, 2nd Ed., Academic Press, Inc., 1990, Chapters 9, 10.
12. T.P. VoglJ.K. Mangis, A.K. Rigler, W.T. Zink, D.L. Alkon, Accelerating the convergence of the backpropagation method, Biological Cybernetics, vol. 59, pp. 257-263, 1988.
13. C.S. ChangD. Srinivasan, A.C. Liew, A Hybrid Model for Transient Stability Evaluation of Interconnected Longitudinal Power Systems using Neural Network/Pattern Recognition Approach, IEEE Transactions on Power Systems, Vol. 9, No. 1, February 1994.
14. Q. ZhouJ. Davidson, A.A. Fouad, Application of Artificial Neural Networks in Power System Security and Vulnerability Assessment, IEEE Transactions on Power Systems, Vol. 9, No. 1, February 1994.
15. A.A. FouadS. Venkataraman, J.A. Davis, An Expert System for Security Trend Analysis of a Stability-Limited Power System, IEEE WM paper No. 91 WM 216-2 PWRS.
16. Neural Network Toolbox for use with Matlab; The Math Works Inc.Natick Massachusetts, 1992 (a) Users Guide.