Large scale unit commitment using a hybrid genetic algorithm

International Journal of Electrical Power and Energy Systems

Volumn 19, Issue 1, 1997, Pages 45-55

  Orero, S O ^a   Irving, M R ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Generator scheduling; Genetic algorithms; Unit commitment

Indexed keywords

EID: 0006491501     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0142-0615(96)00028-2     Document Type: Article

References (23)

1. Wood, A. J. and Wollenberg, B. F. Power Operation, Generation and Control. John Wiley and Sons, New York, 1984.
2. Fahd, G. and Sheble, G. Unit commitment literature synopsis. IEEE Transactions PWRS 1994 9 128-135.
3. Khodaverdia, E., Bramellar, A. and Dunnet, R. M. Semi rigorous thermal unit commitment for large scale electrical power systems. Proceedings IEEE Part C 1986 133 157-164.
4. Li, S. and Shahidehpour, S. H. Promoting the application of expert systems in short term unit commitment. IEEE Transactions PWRS 1995 10 287-292.
5. Pang, C. K., Sheble, G. B. and Albuyeh, F. Evaluation of dynamic programming based methods and multiple area representation for thermal unit commitments. IEEE Transactions PAS 1981 100 1212-1218.
6. Cohen, A. I. and Yoshimua, M. A. Branch and bound algorithm for unit commitment. IEEE Transactions 1983 PAS-102 444-451.
7. Dillon, T. S., Edwin, K. W., Kochs, H. D. and Taud, R. J. Integer programming approach to the problem of unit commitment with probabilistic reserve determination. IEEE Transactions 1978 97(6) 2154-2166.
8. Zhuang, F. and Galliana, F. D. Towards a more vigorous and practical unit commitment by Lagrangian relaxation. IEEE Transactions PWRS 1988 3 763-770.
9. Musoke, H. S., Biswas, S. K., Ahmed, E., Cliff, P. and Kazibwe, W. Simultaneous solutions of unit commit-ment and dispatch problems using artificial neural networks. International Journal of Electrical Power and Energy Systems 1993 3 193 199.
10. Zhuang, F. and Galliana, F. Unit commitment by simulated annealing. IEEE Transactions PWRS 1990 5 311-317.
11. Muller, H. and Petritsch, G. Genetic programming and simulated annealing for optimisation of unit commitment, 11th Power Systems Computations Conference, 1993 1097
12. Dasgupta, D. and McGregor, D. R. Thermal unit commitment using genetic algorithms. IEE Proceedings Generation Transmission and Distribution 1994 141(5) 459-465.
13. Sheble, G. and Maifeld, T. Unit commitment by genetic algorithm and expert systems. Electric Power System Research 1994 30 115-121.
14. Orero, S. O. and Irving, M. R. A. Genetic algorithm for generator scheduling in power systems. International Journal of Electric Power and Energy Systems 1996 18 19-26.
15. Holland, J. H. Adaptation in Natural and Artificial systems Ann Arbor: University of Michigan Press, USA, 1975.
16. Goldberg, D. E. Genetic Algorithms in Search, Optimisation and Machine Learning Addison Wesley, Reading 1989.
17. Fitzpatrick, J. M. and Grefenstette, J. J. Genetic Algorithms in noisy environments. Machine Learning 1988 3 (2/ 3) 101-120.
18. Irving, M. R. and Sterling, M. J. H. Economic dispatch of active power with constraint relaxation. Proceedings IEE, Part C 1983 130 172-177.
19. De Jong, K. Adaptive systems design IEEE Transactions on Systems, Man and Cybernetics 1980 10 556-574.
20. Schaffer, J. D., Caruana, R. A., Eshelman, C. J. and Das, R. A study of control parameters affecting on line performance of genetic algorithms for function optimisation, Proceedings of 3rd International Conference on Genetic Algorithms and their Applications, ed. J. J. Schaffer. San Mateo, CA 1989 pp. 2-4.
21. Grefensttete, J. J. Optimisation of control parameters for genetic algorithms. IEEE Transactions on Systems, Man and Cybernetics 1986 16 122-128.
22. EPRI TR-103697 Optimization of the unit commitment problem by a coupled gradient network and by a genetic algorithm. Technical report 1994.
23. Mahfound, S. Niching methods for Genetic Algorithms. Doctoral dissertation, University of Illinois at Urbana Champaign 1995.