Augmented Lagrange Hopfield network based Lagrangian relaxation for unit commitment

International Journal of Electrical Power and Energy Systems

Volumn 33, Issue 3, 2011, Pages 522-530

  Dieu, Vo Ngoc ^a   Ongsakul, Weerakorn ^a  

^a ASIAN INSTITUTE OF TECHNOLOGY   (Thailand)

Author keywords

Augmented Lagrange Hopfield; Heuristic search; Improved Lagrangian relaxation; Unit commitment

Indexed keywords

AUGMENTED LAGRANGIAN RELAXATION; CONTINUOUS HOPFIELD NETWORKS; DOWN TIME; ECONOMIC DISPATCH PROBLEMS; ENERGY FUNCTIONS; FEASIBLE SOLUTION; HEURISTIC SEARCH; HOPFIELD NETWORKS; IMPROVED LAGRANGIAN RELAXATION; LAGRANGE; LAGRANGIAN RELAXATION; LAST STAGE; LOAD DEMAND; LR METHOD; PRIMARY UNITS; RAMP RATE CONSTRAINTS; SPINNING RESERVES; TEST RESULTS; THREE STAGES; TOTAL PRODUCTION COST; UNIT COMMITMENT; UNIT COMMITMENT PROBLEM; UNIT COMMITMENTS;

MODULAR ROBOTS; REPAIR; SCHEDULING;

LAGRANGE MULTIPLIERS;

EID: 79952005748     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2010.12.004     Document Type: Article

References (28)

1. Burns RM, Gibson CA. Optimization of priority lists for a unit commitment program. In: Proc. of the IEEE/PES summer meeting, Paper A 75453-1; 1975.
2. A.I. Cohen, and M. Yoshimura A branch-and-bound algorithm for unit commitment IEEE Trans Power App Syst 102 2 1983 444 451
3. W.L. Snyder, H.D. Powell, and J.C. Rayburn Dynamic programming approach to unit commitment IEEE Trans Power Syst 2 2 1987 339 350
4. M. Carrion, and J. Arroyo A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem IEEE Trans Power Syst 21 3 2006 1371 1378 (Pubitemid 44263531)
5. A.J. Wood, and B.F. Wollenberg Power system generation, operation and control 2nd ed. 1996 John Wiley New York
6. W. Ongsakul, and N. Petcharaks Unit commitment by enhanced adaptive Lagrangian relaxation IEEE Trans Power Syst 19 1 2004 620 628
7. H. Sasaki, M. Watanabe, and R. Yokoyama A solution method of unit commitment by artificial neural networks IEEE Trans Power Syst 7 3 1992 974 981 (Pubitemid 23563471)
8. V.N. Dieu, and W. Ongsakul Enhanced augmented Lagrangian Hopfield network for unit commitment IEE Proc Gener Transm Distrib 153 6 2006 624 632 (Pubitemid 44601622)
9. L. Sun, Y. Zhang, and C. Jiang A matrix real-coded genetic algorithm to the unit commitment problem Electr Power Syst Res 76 9-10 2006 716 728
10. J.M. Arroyo, and A.J. Conejo A parallel repair genetic algorithm to solve the unit commitment problem IEEE Trans Power Syst 17 4 2002 1216 1224
11. A.Y. Saber, T. Senjyu, T. Miyagi, N. Urasaki, and T. Funabashi Fuzzy unit commitment scheduling using absolutely stochastic simulated annealing IEEE Trans Power Syst 21 2 2006 955 964
12. A.Y. Saber, T. Senjyu, A. Yona, N. Urasaki, and T. Funabashi Fuzzy unit commitment solution - a novel twofold simulated annealing approach Electr Power Syst Res 77 12 2007 1699 1712 (Pubitemid 47348224)
13. A.Y. Saber, T. Senjyu, T. Miyagi, N. Urasakiand, and T. Funabashi Unit commitment by heuristics and absolutely stochastic simulated annealing IET Gener Transm Distrib 1 2 2007 234 243 (Pubitemid 46582790)
14. A.H. Mantawy, Y.L. Abdel-Magid, and S.Z. Selim A unit commitment by tabu search IEE Proc Gener Transm Distrib 145 1 1998 197 204
15. K.A. Juste, H. Kita, E. Tanaka, and J. Hasegawa An evolutionary programming solution to the unit commitment problem IEEE Trans Power Syst 14 4 1999 1452 1459 (Pubitemid 32082808)
16. B. Zhao, C.X. Guo, B.R. Bai, and Y.J. Cao An improved particle swarm optimization algorithm for unit commitment Int J Electr Power Energy Syst 289 7 2006 432 512
17. A.Y. Saber, T. Senjyu, A. Yona, and T. Funabashi Unit commitment computation by fuzzy adaptive particle swarm optimisation IET Gener Transm Distrib 1 3 2007 456 465 (Pubitemid 46718683)
18. K.-Y. Huang, H.-T. Yang, and C.-L. Huang A new thermal unit commitment approach using constraint logic programming IEEE Trans Power Syst 13 3 1998 936 945 (Pubitemid 128748960)
19. M.M. El-Saadawi, M.A. Tantawi, and E. Tawfik A fuzzy optimization-based approach to large scale thermal unit commitment Electr Power Syst Res 72 3 2004 245 252
20. J.D. Dillon, M.P. Walsh, and M.J. O'Malley Initialization of the augmented Hopfield network for improved generator scheduling IEE Proc Gener Transm Distrib 149 5 2002 593 599 (Pubitemid 35313932)
21. S.O. Orero, and M.R. Irving Large scale unit commitment using a hybrid genetic algorithm Int J Electr Power Energy Syst 19 1 1997 45 55 (Pubitemid 127417480)
22. Dieu VN, Ongsakul W. Enhanced merit order and augmented Lagrange Hopfield network for unit commitment. In: Proc. of 15th power systems computation conference, Lige, Belgium; 2005.
23. Dieu VN, Ongsakul W. Enhanced merit order and augmented Lagrange Hopfield network for ramp rate constrained unit commitment. In: Proc. of IEEE power system society general meeting, Canada; 2006.
24. B. Venkatesh, T. Jamtsho, and H.B. Gooi Unit commitment - a fuzzy mixed integer linear programming solution IET Gener Transm Distrib 1 5 2007 836 846 (Pubitemid 47236960)
25. C. Wang, and S.M. Shahidehpour Effects of ramp-rate limits on unit commitment and economic dispatch IEEE Trans Power Syst 8 3 1993 1341 1350
26. A.Y. Saber, and A.M. Alshareef Scalable unit commitment by memory-bounded ant colony optimization with A local search Int J Electr Power Energy Syst 30 6-7 2008 403 414
27. E.S. Huse, I. Wangensteen, and H.H. Faanes Thermal power generation scheduling by simulated competition IEEE Trans Power Syst 14 2 1999 472 477
28. Pokharel BK, Shrestha GB, Lie TT, Fleten S-E. Price-based unit commitment for Gencos in deregulated markets. In: Proc. of IEEE power system society general meeting, vol. 1; 2005. p. 428-33. (Pubitemid 41496955)