Generation Scheduling problem by Intelligent Genetic Algorithm

Computers and Electrical Engineering

Volumn 39, Issue 1, 2013, Pages 79-88

  Dhanalakshmi, Sundararajan ^a   Baskar, Subramanian ^b   Kannan, Subramanian ^a   Mahadevan, Krishnan ^c  

^a KALASALINGAM UNIVERSITY   (India)

^b THIAGARAJAR COLLEGE OF ENGINEERING   (India)

^c PSNA COLLEGE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CODING SCHEME; CONSTRAINT-HANDLING TECHNIQUES; GENERATION SCHEDULING; INTELLIGENT GENETIC ALGORITHM; LAGRANGIAN RELAXATION; LAGRANGIAN RELAXATIONS; MINIMUM COST; PARAMETER-LESS; POWER BALANCE; TEST SYSTEMS; TIME CONSTRAINTS;

COMPUTER PROGRAMMING; LAGRANGE MULTIPLIERS;

SCHEDULING;

EID: 84874116899     PISSN: 00457906     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compeleceng.2012.03.013     Document Type: Article

References (33)

1. A.J. Wood, and B.F. Wollenberg Power generation, operation and control 2nd Edn. 1996 John Wiley & Sons, Inc. New York
2. H.Y. Yamin Review on methods of generation scheduling in electric power systems Electr Power Syst Res 69 2004 227 248
3. N.P. Padhy Unit commitment-a bibliographical survey IEEE Trans Power Syst 19 2004 1196 1205
4. F.N. Lee Short-term unit commitment-a new method IEEE Trans Power Syst 3 1988 691 698
5. C.K. Pang, G.B. Sheble, and F. Albuyeh Evaluation of dynamic programming based methods and multiple area representation for thermal unit commitment IEEE Trans Power Apparatus Syst 100 1981 1212 1218
6. S. Virmani, K. Imhof, and S. Mukherjee Implementation of Lagrangian based unit commitment problem IEEE Trans Power Syst 10 1995 772 777
7. S.A. Kazarlis, A.G. Bakirtzis, and J. Petridis A genetic algorithm solution to the unit commitment problem IEEE Trans Power Syst 11 1996 83 92
8. S.O. Orero, and M.R. Irving A genetic algorithm for generation scheduling in power systems Electric Power Energy Syst 18 1996 19 26
9. K.S. Swarup, and S. Yamashiro Unit commitment solution methodology using genetic algorithm IEEE Trans Power Syst 17 2002 87 91
10. D. Dasgupta, and D.R. Mcgregor Thermal unit commitment using genetic algorithms IEE Proc Gener Transm Distrib 141 1994 459 465
11. K.A. Juste, H. Kita, E. Tanaka, and J. Hasegawa An evolutionary programming solution to the unit commitment problem IEEE Trans Power Syst 14 1999 1452 1459
12. A.H. Mantawy, Y.L. Abdel-Magid, and S.Z. Selim A simulated annealing algorithm for unit commitment IEEE Trans Power Syst 13 1998 197 204
13. A.H. Mantawy, Y.L. Abdel-Magid, and S.Z. Selim Unit commitment by Tabu search Proc Inst Elect Eng Gener Transm Distrib 145 1998 56 64
14. S. Saneifard, N.R. Prasad, and H.A. Smolleck A fuzzy logic approach to unit commitment IEEE Trans Power Syst 12 1997 988 995
15. Z. Ouyang, and S.M. Shahidehpour Heuristic multi-area unit commitment with economic dispatch IEE Proc Gener Transm Distrib 138 1991 242 252
16. S.K. Tong, S.M. Shahidehpour, and Z. Ouyang A heuristic short-term unit commitment IEEE Trans Power Syst 6 1991 1210 1216
17. C. Wang, and S.M. Shahidehpour Effects of ramp-rate limits on unit commitment and economic dispatch IEEE Trans Power Syst 8 1993 1341 1350
18. Weerakorn Ongsakul, and Nit Petcharaks Unit commitment by enhanced adaptive Lagrangian relaxation IEEE Trans Power Syst 19 2004 620 628
19. C.P. Cheng, C.W. Liu, and C.C. Liu Unit commitment by Lagrangian relaxation and genetic algorithms IEEE Trans Power Syst 15 2002 707 714
20. K. Mahadevan, and P.S. Kannan Lagrangian relaxation based particle swarm optimization for unit commitment problem Int J Power Energy Syst 4 2007 320 329
21. T.O. Ting, M.V.C. Rao, and C.K. Loo A novel approach for unit commitment problem via an effective hybrid particle swarm optimization IEEE Trans Power Syst 21 2006 411 418
22. Y.M. Chen, and W.S. Wang Fast solution technique for unit commitment by particle swarm optimization and genetic algorithms Int J Energy Technol Policy 5 2007 440 456
23. R. Nayak, and J.D. Sharma A hybrid neural network and simulated annealing approach to the unit commitment problem Comput Electr Eng 26 2000 461 477
24. Yun-Won Jeong, Jong-Bae Park, Se-Hwan Jang, and K.Y. Lee A new quantum-inspired binary PSO: application to unit commitment problems IEEE Trans Power Syst 25 2010 1486 1495
25. Hong-Tzer Yang, Pai-Chuan Yang, and Ching-lien Huang A parallel genetic algorithm approach in solving unit commitment problem: implementation on the transputer networks IEEE Trans Power Syst 12 1997 661 668
26. S. Baskar, P. Subbaraj, and P. Chidambaram Application of genetic algorithms to unit commitment problem IE (I) J 81 2001 195 201
27. D.E. Goldberg Genetic algorithm in search, optimization and machine learning 1989 Addison-Wesley MA
28. G.B. Sheble, and T.T. Maifeld Unit commitment by genetic algorithm and expert systems J Electric Power Syst Res 30 1994 115 121
29. P.S. Manoharan, P.S. Kannan, S. Baskar, and M.W. Iruthayarajan Penalty parameter-less constraint handling scheme based evolutionary algorithm solutions to economic dispatch IET Gener Transm Distrib 2 2008 478 490
30. Lingfeng Wang, and Chanan Singh Unit commitment considering generator outages through a mixed-integer particle swarm optimization algorithm Appl Soft Comput 9 2009 947 953
31. R.M.S. Danaraj, and F. Gajendran Quadratic programming solution to emission and economic dispatch problems IE (I) J 86 2005 129 132
32. Csaba Meszaros The BPMPD interior point solver for convex quadratically constrained quadratic programming problems Lect Notes Comput Sci 5910 2010 813 820
33. R.D. Zimmerman, C.E. Murillo-Sánchez, and R.J. Thomas MATPOWER's extensible optimal power flow architecture IEEE Power Energy Soc Gen Meet 2009 1 7