Online visualization of security boundaries using neural networks with feature selection

International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications

Volumn 8, Issue 3, 2000, Pages 161-168

  Zhou, Guozhong ^a   Van Acker, Vincent ^a   McCalley, James D ^a   Mitchell, Matthew A ^a   Wang, Shimo ^b  

^a Iowa State University   (United States)

^b Siemens PT and D   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC POWER SYSTEMS; GENETIC ALGORITHMS; INTELLIGENT CONTROL; ONLINE SYSTEMS; SECURITY SYSTEMS; VISUALIZATION;

BOUNDARY VISUALIZATION; CONTINUOUS COMPOSITE BOUNDARIES; SECURITY ASSESSMENT;

NEURAL NETWORKS;

EID: 0034268811     PISSN: 09691170     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. J. D. McCalley and B. A. Krause Rapid transmission capacity margin determination for dynamic security assessment using artificial neural networks, Electric Power Systems Research, vol. 34, 1995, pp. 37-45.
2. J. D. McCalley, S. Wang, Q. Zhao, G. Zhou, R. T. Treinen and A. Papalexopoulos Security boundary visualization for systems operation, IEEE Transactions on Power Systems, vol. 12, no. 2, May 1997, pp. 940-947.
3. P. Shanahan and S. Naumann Evaluation of simultaneous transfer capabilities, Proceedings of the 1995 American Power Conference, Chicago, IL, April 1995, pp. 1463-1468.
4. J. Kanetkar and S. Ranade Compact representation of power system security - a review, Proceedings of the North American Power Symposium, 1992.
5. R. Farmel Present day power system stability analysis methods in the Western United States, Proceedings of the International Symposium on Power System Stability, Ames, IA, May 13-15 1985, pp. 39-44.
6. J. McCalley, G. Zhou, V. Van Acker, M. Mittchell, V. Vittal, S. Wang and J. Pecas-Lopes Power System Security Boundary VisualizationUsing Neural Networks, Proc. of the Symposium on Bulk Power System Dynamics and Control IV-Restructuring, Aug. 24-28, Santorini, Greece.
7. Y. Jacquemart, L. Wehenkel, T. Van Cutsem and P. Pruvot Statistical approaches to dynamic security assessment: The database generation problem, Proceedings of IFAC Symposium on Control of Power Plants and Power Systems, Caucun, Mexico, December 1995.
8. Electric Power Research Institute (EPRI), Interactive Power Flow User's Manual, Version 2.1, Prepared by Ontario Hydro, Toronto, Ontario, Canada, May 1994.
9. V. Van Acker, S. Wang, J. D. McCalley, G. Zhou and M. Mitchell Data generation using automated security assessment for neural network training, Proceedings of the 29th North American Power Symposium, Laramie, WY, October 1997.
10. D. E. Goldberg Genetic Algorithm in Search, Optimization, and Machine Learning, Reading, MA: Addison-Wesley, 1989.
11. H. Vafaie ancl K. De Jong Genetic algorithms as a tool for feature selection in machine learning, Fourth International Conference on Tools with Artificial Intelligence, Arlington, VA, November 1992, pp. 200-203.
12. J. Yang and V. Honavar Feature subset selection using a genetic algorithm. Proceedings of International Conference on Genetic Programming, Stanford, CA, July 1997.
13. T. S. Dillon and D. Niebur, eds. Neural Networks Applications in Power Systems, London, UK: CRL Publishing Ltd., 1996.
14. M. El-Sharkawi and D. Niebur, eds. Artificial Neural Networks with Applications to Power Systems, IEEE PES special publication 96TP 112-0, 1996.
15. G. Zhou and J. D. McCailey Composite Security Boundary Visualization, to appear in IEEE Transactions on Power Systems.