Genetic algorithm and decision tree-based oscillatory stability assessment

IEEE Transactions on Power Systems

Volumn 21, Issue 2, 2006, Pages 746-753

  Teeuwsen, Simon P ^a   Erlich, Istvan ^b   El Sharkawi, Mohamed A ^c   Bachmann, Udo ^d  

^a SIEMENS AG   (Germany)

^b UNIVERSITY OF DUISBURG ESSEN   (Germany)

^c UNIVERSITY OF WASHINGTON   (United States)

^d Vattenfall Europe Transmission GmbH ^*  (Germany)

Author keywords

Decision tree (DT); Feature selection; Genetic algorithm (GA); Large power systems; Oscillatory stability assessment (OSA)

Indexed keywords

DECISION THEORY; EIGENVALUES AND EIGENFUNCTIONS; ELECTRIC NETWORK ANALYSIS; GENETIC ALGORITHMS; TREES (MATHEMATICS);

DECISION TREE; FEATURE SELECTION; LARGE POWER SYSTEM; LARGE SCALE INTERCONNECTED POWER SYSTEM; OSCILLATORY STABILITY ASSESSMENT;

ELECTRIC POWER SYSTEMS;

EID: 33646381873     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2006.873408     Document Type: Article

References (13)

1. U. Bachmann, I. Erlich, and E. Grebe, "Analysis of interarea oscillations in the European electric power system in synchronous parallel operation with the Central-European networks," in Proc. IEEE PowerTech, Budapest, Hungary, 1999.
2. H. Breulmann and E. Grebe et al., "Analysis and damping of inter-area oscillations in the UCTE/CENTREL power system," in Proc. CIGRE 38-113, 2000.
3. P. Kundur, Power System Stability and Control. New York: McGraw-Hill, 1994.
4. L. A. Wehenkel, Automatic Learning Techniques in Power Systems. Norwell, MA: Kluwer, 1998.
5. S.P.Teeuwsen, Oscillatory Stability Assessment of Power Systems Using Computational Intelligence. Aachen, Germany: Shaker, 2005.
6. S. P. Teeuwsen, I. Erlich, and U. Bachmann, "Small-signal stability assessment of the European power system based on advanced neural network method," in Proc. IFAC, Seoul, Korea, Sep. 2003.
7. S. P. Teeuwsen, I. Erlich, and M. A. El-Sharkawi, "Small-signal stability assessment based on advanced neural network methods," in Proc. IEEE PES General Meeting, Toronto, ON, Canada, Jul. 2003.
8. S. P. Teeuwsen, I. Erlich, and M. A. El-Sharkawi, "Neural network based classification method for small-signal stability assessment," in Proc. IEEE PowerTech, Bologna, Italy, Jun. 2003.
9. M. A. Breiman et al., Classification and Regression Trees. Belmont, CA: Wadsworth, 1984.
10. R. Jang, Neuro-Fuzzy and Soft Computing. Englewood Cliffs, NJ: Prentice Hall, 1997.
11. J. R. Quinlan, C4.5 Programs for Machine Learning. San Mateo,CA: Morgan Kaufmann, 1993.
12. H. Kim and G. J. Koehler, "Theory and practice of decision tree induction," Omega, vol. 23, no. 6, pp. 637-652, 1995.
13. K. F. Man, K. S. Tang, and S. Kwong, Genetic Algorithms. London, U.K.: Springer, 1999.