Using immune genetic algorithm based hybrid techniques for short-term unit commitment problem

Electrical Engineering

Volumn 87, Issue 5, 2005, Pages 267-279

  Liao, G C ^a  

^a FORTUNE INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Chaos search; Fuzzy system; Genetic algorithm; Immune algorithm; Unit commitment

Indexed keywords

CHAOS THEORY; COMPUTATIONAL METHODS; CONSTRAINT THEORY; EXPERT SYSTEMS; GENETIC ALGORITHMS; HEURISTIC METHODS; OPTIMIZATION;

CHAOS SEARCH (UC); THERMAL UNIT POWER SYSTEMS; UNIT COMMITMENT (UC);

ELECTRICAL ENGINEERING;

EID: 23744471101     PISSN: 09487921     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00202-004-0245-3     Document Type: Article

References (36)

1. Syder WL, Powell HD, Rayburn JC (1987) Dynamic programming development of theory. IEEE Trans Power Syst 2:339-350
2. Lowery PG (1983) Generation unit commitment by dynamic programming. IEEE Trans Power Syst 102:1218-1225
3. Muckstadt JA, Wilson RC (1968) An application of mixed integer programming duality to scheduling thermal generating systems. IEEE Trans Power Apparat Syst PSA-87:968-1977
4. Burns RM, Gibson CA (1975) Optimization of priority lists for a unit commitment program. Paper A 75 453-1 presented at the IEEE/PES summer meeting, July 1975, San Francisco, CA
5. Hobbs WJ, Hermon G, Warner S, Sheble GB (1988) An enhanced dynamic programming approach for unit commitment. IEEE Trans Power Syst 3:1201-1205
6. Ouyang Z, Shahidehpour SM (1990) Short term unit commitment expert system. Elect Power Syst Res 19(3):1-13
7. Hamdam R, Mohamed-Nor K (1991) Integrating an expert system into a thermal unit commitment algorithm. IEE Proc C Gener Transm Distrib 138:553-559
8. Saneifard S, Prasad NR, Smolleck HA (1997) A fuzzy approach to unit commitment. IEEE Trans Power Syst 12:988-995
9. Su CC, Hsu YY (1991) Fuzzy dynamic programming: an application to unit commitment. IEEE Trans Power Syst 6:1231-1237
10. Virmani S, Adrian EC, Imhof K, Mukherjee S (1989) Implementation of a Lagrangian relaxation based unit commitment problem. IEEE Trans Power Syst 4:1373-1379
11. Wang SJ, Shahidehpour M, Kirschen DS, Mokhtar S, Irisarri GD (1995) Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation. IEEE Trans Power Syst 10:1294-1301
12. Zhuang F, Galiana FD (1988) Unit commitment by Lagrangian relaxation. IEEE Trans Power Syst 4:763-770
13. Zhuang F, Galiana FD (1988) Towards a more rigorous and practical unit commitment by Lagrangian relaxation. IEEE Trans Power Syst 3:763-772
14. Zhai Q, Guan X, Cui J (2002) Unit commitment with identical units: successive subproblem solving method based on Lagrangian relaxation. IEEE Trans Power Syst 17:1250-1257
15. Borghetti A, Frangioni A, Lacalandra F, Lodi A, Martello S, Nucci CA, Trebbi A (2001) Lagrangian relaxation and Tabu search approaches for unit commitment problem. In: IEEE Porto Power Tech Proceedings, 10-13 September 2001, Porto, Portugal
16. Zhuang F, Galiana FD (1990) Unit commitment by simulated annealing. IEEE Trans Power Syst 5:311-317
17. Wong KP, Wong YW (1994) Short-term hydro-thermal scheduling, Part I. Simulated annealing approach. IEE Proc Gener Transm Distrib 141:497-501
18. Purushothama GK, Jenkins L (2003) Simulated annealing with local search - a hybrid algorithm for unit commitment. IEEE Trans Power Syst 18:273-278
19. Viana A, Sousa JP, Matos M (2001) Simulated annealing for the unit commitment problem. In: IEEE Porto Power Tech Proceedings, 10-13 September 2001, Porto, Portugal
20. Mantawy H, Abdel-Magid YL, Selim SZ (1999) Integrating genetic algorithms, Tabu search and simulated annealing for the unit commitment problem. IEEE Trans Power Syst 14:829-836
21. Rajan CCA, Mohan MR, Monivannan K (2003) Neural based Tabu search method for solving unit commitment problem. IEE Proc Gener Transm Distrib 150:469-474
22. Dasgupta D, McGregor DR (1994) Thermal unit commitment using genetic algorithms. IEE Proc C 141:459-465
23. Sheble GB, Maifeld TT (1994) Unit commitment by genetic algorithms and expert system. Elect Power Syst Res 30:115-121
24. Karzalis SA, Barkitzis AG, Petridis V (1996) A genetic algorithm solution of the unit commitment problem. IEEE Trans Power Syst 11:83-90
25. Liao GC, Tsao TP (2002) The use of genetic algorithm/fuzzy system and Tabu search for short-term unit commitment. In: Proceedings of the International Conference on Power system technology, vol 4, pp 2302-2307
26. Ma X, El-Keib AA, Smith RE, Ma H (1995) A genetic algorithm based approach to thermal unit commitment of electric power system. Elect Power Syst Res 34:29-36
27. Mashhadi HR, Shanechi HM, Lucas C (2003) A new genetic algorithm with Lamarckian individual learning for generation scheduling. IEEE Trans Power Syst 18:1181-1186
28. Arroyo JM, Conejo AJ (2003) A parallel repair genetic algorithm to solve the unit commitment problem. IEEE Trans Power Syst 17:1216-1224
29. Aldridge CJ, Mokee S, McDonald JR, Galkway SJ, Dahal KP, Bradley ME, Macqueen JF (2001) Knowledge based genetic algorithm for unit commitment. IEE Proc Gener Transm Distrib 148:146-152
30. Endoh S, Toma N, Yamada K (1998) Immune algorithm for n-TSP. In: Proceedings of the IEEE International Conference on System, man and cybernetics, 11-14 October 1998. vol 4, pp 3844-3849
31. Lin CH, Chen CS, Wu CJ (2001) Feeder reconfiguration for distribution system contingencies with immune algorithm. In: IEEE Porto Power Tech Proceedings, 10-13 September 2001, Porto, Portugal, vol 3
32. Hong G, Yuan MZ (2002) Immune algorithm. In: Proceedings of the 4th World Congress on Intelligent control and automation 10-14 June 2002, vol 3, pp 1784-1788
33. Kim DH (2002) Parameter tuning of fuzzy neural networks by immune algorithm. In: Proceedings of the 2002 IEEE International Conference on Fuzzy systems, 12-17 May 2002, vol 1, pp 408-413
34. Yong Y, Sun'an W, Wanxing S (2002) Short-term load forecasting using artificial immune network. In: Proceedings of the International Conference on Power system technology, vol 4, pp 2322-2325
35. Wang DF, Han P, Liu N, Dong Z, Jiao SM (2002) Modeling the circulating fluidized bed boiler using RBF-NN based on immune genetic algorithm. In: Proceedings of the First International Conference on Machine learning and cybernetics, 4-5 November 2002, vol 4, pp 2121-2125
36. Shi Y, Eberhart R, Chen Y (1999) Implementation of evolutionary fuzzy system. IEEE Trans Fuzzy Syst 7:109-119