Improved merit order and augmented Lagrange Hopfield network for unit commitment

IET Generation, Transmission and Distribution

Volumn 1, Issue 4, 2007, Pages 548-556

  Dieu, V N ^a   Ongsakul, W ^a  

^a ASIAN INSTITUTE OF TECHNOLOGY   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; ELECTRIC POWER GENERATION; HEURISTIC ALGORITHMS; LAGRANGE MULTIPLIERS; SCHEDULING;

AUGMENTED LAGRANGE HOPFIELD NETWORKS (ALHN); AUGMENTED LAGRANGE RELAXATION; IMPROVED MERIT ORDER (IMO); PRODUCTION COST;

NEURAL NETWORKS;

EID: 34250351323     PISSN: 17518687     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-gtd:20060321     Document Type: Article

References (28)

1. Senjyu, T., Shimabukuro, K., Uezato, K., and Funabashi, T.: ' A fast technique for unit commitment problem by extended priority list ', IEEE Trans. Power Syst., 2003, 18, (2), p. 882-888 0885-8950
2. Senjyu, T., Miyagi, T., Saber, A.Y., Urasaki, N., and Funabashi, T.: ' Emerging solution of large-scale unit commitment problem by stochastic priority list ', Electr. Power Syst. Res., 2006, 76, (5), p. 283-292 0378-7796
3. Dieu, V.N., and Ongsakul, W.: ' Enhanced merit order and augmented Lagrange Hopfield network for unit commitment ', Proc. 15th Power Systems Computation Conf., Liège, Belgium, 2005
4. Snyder, W.L., Powell, H.D., and Rayburn, J.C.: ' Dynamic programming approach to unit commitment ', IEEE Trans. Power Syst., 1987, 2, (2), p. 339-350 0885-8950
5. Carrion, M., and Arroyo, J.M.: ' A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem ', IEEE Trans. Power Syst., 2006, 21, (3), p. 1371-1378 0885-8950
6. Ongsakul, W., and Petcharaks, N.: ' Unit commitment by enhanced adaptive Lagrangian relaxation ', IEEE Trans. Power Syst., 2004, 19, (1), p. 620-628 0885-8950
7. Dillon, J.D., Walsh, M.P., and O'Malley, M.J.: ' Initialization of the augmented Hopfield network for improved generator scheduling ', IEE Proc., Gener. Transm. Distrib., 2002, 149, (5), p. 593-599 1350-2360
8. Mokhtari, S., Sing, J., and Wollenberg, B.: ' A unit commitment expert system (power system control) ', IEEE Trans. Power Syst., 1988, 3, (1), p. 272-277 0885-8950
9. Saneifard, S., Prasad, N.R., and Smollech, H.A.: ' A fuzzy logic approach to unit commitment ', IEEE Trans. Power Syst., 1997, 12, (2), p. 988-995 0885-8950
10. Senjyu, T., Saber, A.Y., Miyagi, T., Urasaki, N., and Funabashi, T.: ' Absolutely stochastic simulated annealing approach to large scale unit commitment problem ', Electr. Power Compon. Syst., 2006, 34, (6), p. 619-637 1532-5008
11. Simopoulos, D.N., Kavatza, S.D., and Vournas, C.D.: ' Unit commitment by an enhanced simulated annealing algorithm ', IEEE Trans. Power Syst., 2006, 21, (1), p. 68-76 0885-8950
12. Mantawy, A.H., Abdel-Magid, Y.L., and Selim, S.Z.: ' A unit commitment by tabu search ', IEE Proc., Gener. Transm. Distrib., 1998, 145, (1), p. 197-204 1350-2360
13. Kazarlis, S.A., Bakirtzis, A.G., and Petridis, V.: ' A genetic algorithm solution to the unit commitment problem ', IEEE Trans. Power Syst., 1996, 11, (1), p. 83-92 0885-8950
14. Senjyu, T., Yamashiro, H., Uezato, K., and Funabashi, T.: ' A unit commitment problem by using genetic algorithm based on unit characteristic classification ', 2002, 1, p. 58-63, Proc. IEEE/Power Eng. Soc. Winter Meeting
15. Senjyu, T., Yamashiro, H., Uezato, K., and Funabashi, T.: ' Fast solution technique for large-scale unit commitment problem using genetic algorithm ', IEE Proc., Gener. Transm. Distrib., 2003, 150, (6), p. 753-760 1350-2360
16. Sun, L., Zhang, Y., and Jiang, C.: ' A matrix real-coded genetic algorithm to the unit commitment problem ', Electr. Power Syst. Res., 2006, 76, (9-10), p. 716-728 0378-7796
17. Senjyu, T., Saber, A.Y., Miyagi, T., Shimabukuro, K., Urasaki, N., and Funabashi, T.: ' Fast technique for unit commitment by genetic algorithm based on unit clustering ', IEE Proc., Gener. Transm. Distrib., 2005, 152, (5), p. 705-713 1350-2360
18. Dang, C., and Li, M.: ' A floating-point genetic algorithm for solving the unit commitment problem ', European J. Operational Res., 2006, article in press
19. Valenzuela, J., and Smith, A.E.: ' A seeded memetic algorithm for large unit commitment problems ', J. Heuristic, 2002, 8, (2), p. 173-195
20. Juste, K.A., Kita, H., Tanaka, E., and Hasegawa, J.: ' An evolutionary programming solution to the unit commitment problem ', IEEE Trans. Power Syst., 1999, 14, (4), p. 1452-1459 0885-8950
21. Zhao, B., Guo, C.X., Bai, B.R., and Cao, Y.J.: ' An improved particle swarm optimization algorithm for unit commitment ', Int. J. Electric. Power Energy Syst., 2006, 28, (7), p. 432-512
22. Dieu, V.N., and Ongsakul, W.: ' Enhanced augmented Lagrangian Hopfield network for unit commitment ', IEE Proc., Gener. Transm. Distrib., 2006, 153, (6), p. 624-632 1350-2360
23. Cheng, C.P., Liu, C.W., and Liu, C.C.: ' Unit commitment by Lagrange relaxation and genetic algorithms ', IEEE Trans. Power Syst., 2000, 15, (2), p. 707-714 0885-8950
24. Balci, H.H., and Valenzuela, J.F.: ' Schedule electric power generators using particle swarm optimization combined with the Lagrangian relaxation method ', Int. J. Appl. Math. Comput. Sci., 2004, 14, (3), p. 411-421 1641-876X
25. Srinivasan, D., and Chazelas, J.: ' A priority list-based evolutionary algorithm to solve large scale unit commitment problem ', Proc. Int. Conf. Power System Technology, Singapore, 2004
26. Dieu, V.N., and Ongsakul, W.: ' Hopfield Lagrange for short-term hydrothermal scheduling ', Proc. IEEE St. Petersburg PowerTech, St. Petersburg, Russia, 2005
27. Momoh, J.A.: ' Electric power system applications of optimization ', (Marcel Dekker Inc., New York, 2001)
28. Viana, A., Sausa, J.P.de, and Matos, M.: ' Using GRASP to solve the unit commitment problem ', Annals of Operations Res., 2003, 120, (1-4), p. 117-132