Enhancement of thermal unit commitment using immune algorithms based optimization approaches

International Journal of Electrical Power and Energy System

Volumn 21, Issue 4, 1999, Pages 245-252

  Huang, Shyh Jier ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; CONSTRAINT THEORY; ELECTRIC POWER SYSTEMS; ITERATIVE METHODS; OPTIMIZATION; PROBLEM SOLVING; SCHEDULING;

IMMUNE ALGORITHM; TAIWAN POWER SYSTEM; THERMAL GENERATION SCHEDULING;

THERMOELECTRIC POWER PLANTS;

EID: 0032685882     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0142-0615(98)00050-7     Document Type: Article

References (27)

1. Sheble G.B., Fahd G.N. Unit commitment literature synopsis. IEEE trans. on power systems. 9:(1):1994;128-135.
2. Lee S.F. Short-term unit commitment - a new method. IEEE trans. on power apparatus and systems. 99:(2):1988;421-428.
3. Hobbs W.J., Hermon G., Warner S.G.B., Sheble. An enhanced dynamic programming approach for unit commitment. IEEE trans. on power systems. 3:(3):1988;1201-1205.
4. Snyder W.L., Powell H.D. Jr., Rayburn J.C. Dynamic programming approach to unit commitment. IEEE trans. on power systems. 2:(2):1987;339-350.
5. Dillon T.S., Edwin K.W., Koche M.D., Taud R.J. Integer programming approach to the problem of unit commitment with probabilistic reserve determination. IEEE trans. on power apparatus and systems. 97:(6):1978;2154-2166.
6. Cohen A.I., Yoshimura M. A branch and bound algorithms for unit commitment. IEEE trans. on power apparatus and systems. 102:(2):1983;444-451.
7. Waight J.G., Bose A., Sheble G.B. Generation dispatch with reserve margin constraints using linear programming. IEEE trans. on power apparatus and systems. 100:(1):1981;252-258.
8. Piekutowski M., Rose A. Linear programming method for unit commitment incorporating generation configuration, reserve and flow constraints. IEEE trans. on power apparatus and systems. 104:(12):1985;3501-3506.
9. Brannlund H., Sjelvgren D., Bubenko J.A. Short-term generation scheduling with security constraints. IEEE trans. on power systems. 3:(1):1988;310-316.
10. Bertsekas D.P., Lauer G.S., Sandell Jr. N.R., Posbergh T.A. Optimal short-term scheduling of large scale power systems. IEEE trans. on automatic control. 28:(1):1983;1-11.
11. Zhuang F., Galiana F.D. Towards a more rigorous and practical unit commitment by Lagrangian relaxation. IEEE trans. on power systems. 3:(2):1988;763-773.
12. Zhuang F., Galiana F.D. Unit commitment by simulated annealing. IEEE trans. on power systems. 5:(1):1990;311-317.
13. , El-Sharkawi MA, Huang SJ. Ancillary technique for neural network applications. IEEE international conference on neural networks, Orlando, Florida, 1994.
14. Sasaki H, Watanabe M, Kubokawa J, Yorina N, Yokoyama R. A solution method of unit commitment by artificial neural networks, IEEE PES Summer meeting, 91-SM 437-4, San Diego, 1991.
15. Ouyang Z, Shahidehpour SM. A hybrid artificial neural network-dynamic programming approach to unit commitment, IEEE PES Summer meeting, paper 91-SM 438-2, San Diego, 1991.
16. Tong S.K., Shahidehpour S.M., Ouyang Z. A heuristic short-term unit commitment. IEEE trans. on power systems. 6:(3):1991;1210-1216.
17. Li S, Shahidehpour SM, Wang C. Promoting the application of expert systems in short-term unit commitment, IEEE PES 1992 Winter Meeting, New York, USA, Paper 92 WM 098-4, January 1992.
18. Su C.C., Hsu Y.Y. Fuzzy dynamic pogramming: a aplication to unit commitment. IEEE trans. on power systems. 6:(3):1991;1231-1237.
19. Jerne N.K. The immune system. Scientific America. 229:(1):1973;52-60.
20. Farmer N.H., Packard A.S., Perelson. The immune system: machine learning adaptation. Physica. 22D:1986;187-204.
21. Chun J.S., Kim M.K., Jung H.K. Shape optimization of electromagnetic using immune algorithm. IEEE trans. on magnetics. 33:(2):1997;1876-1879.
22. Mitsumoto N, Fukuda T, Arai F. The immune mechanism, adaptation, learning for the multi agent system, 1994 IEEE symp. on emerging technologies and factory automation, Tokyo, Japan, May 1994.
23. Huang SJ. Application of genetic-based fuzzy system to hydroelectric generation scheduling, to be presented at IEEE PES Summer Meeting, 98 SM 026, San Diego, USA, 1998.
24. Huang SJ. Hydro-thermal coordination of a large-scale power system - an application of immune system-based approaches, submitted to international symp. on circuits and systems, ISCAS'98, California, USA.
25. Wood AJ, Wollenberg BF. Power generation, operation and control, 2nd ed. New York: Wiley, 1996.
26. Huang S.J., Huang C.L. Application of genetic-based neural networks to thermal unit commitment. IEEE trans. on power systems. 12:(2):1997;654-660.
27. Huang S.J., Huang C.L. Genetic-based multi-layered perceptrons for Taiwan power system short-term load forecasting. Journal of electric power system research. 38:(3):1996;69-74.