Incremental artificial bee colony with local search to economic dispatch problem with ramp rate limits and prohibited operating zones

Energy Conversion and Management

Volumn 65, Issue , 2013, Pages 397-407

  Özyön, Serdar ^a   Aydin, Doǧan ^a  

^a DUMLUPINAR UNIVERSITY   (Turkey)

Author keywords

Economic power dispatch; Incremental artificial bee colony algorithm; Local search; Prohibited operating zones; Ramp rate limits

Indexed keywords

ARTIFICIAL BEE COLONY ALGORITHMS; LOCAL SEARCH; POWER DISPATCH; PROHIBITED OPERATING ZONE; RAMP RATE LIMITS;

SCHEDULING;

EVOLUTIONARY ALGORITHMS;

EID: 84870438482     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2012.07.005     Document Type: Article

References (56)

1. T. Niknam, H.D. Mojarrad, and H.Z. Meymand Non-smooth economic dispatch computation by fuzzy and self-adaptive particle swarm optimization Appl Soft Comput 11 2 2011 2805 2817
2. M. Neyestani, M.M. Farsangi, and H. Nezamabadi-pour A modified particle swarm optimization for economic dispatch with non-smooth cost functions Eng Appl Artif Intell 23 7 2010 1121 1126
3. A. Safari, and H. Shayeghi Iteration particle swarm optimization procedure for economic load dispatch with generator constraints Expert Syst Appl 38 5 2011 6043 6048
4. A.I. Selvakumar, and K. Thanushkodi A new particle swarm optimization solution to nonconvex economic dispatch problems IEEE Trans Power Syst 22 1 2007 42 51
5. Z.L. Gaing Particle swarm optimization to solving the economic dispatch considering the generator constraints IEEE Trans Power Syst 18 3 2003 1187 1195
6. B.K. Panigrahi, V.R. Pandi, and S. Das Adaptive particle swarm optimization approach for static and dynamic economic load dispatch Energy Convers Manage 49 6 2009 1407 1415
7. K.T. Chaturvedi, and M. Pandit Self-organizing hierarchical particle swarm optimization for nonconvex economic dispatch IEEE Trans Power Syst 23 3 2008 1079 1087
8. S. Khamsawang, and S. Jiriwibhakorn DSPSO-TSA for economic dispatch problem with nonsmooth and noncontinuous cost functions Energy Convers Manage 51 2 2010 365 375
9. C.C. Kuo A novel coding scheme for practical economic dispatch by modified particle swarm approach IEEE Trans Power Syst 23 4 2008 1825 1835
10. J.B. Park, Y.W. Jeong, J.R. Shin, and K.Y. Lee An improved particle swarm optimization for nonconvex economic dispatch problems IEEE Trans Power Syst 25 1 2010 156 166
11. C. Jiejin, M. Xiaoqian, L. Lixiang, and P. Haipeng Chaotic particle swarm optimization for economic dispatch considering the generator constraints Energy Convers Manage 48 2 2007 645 653
12. B. Mohammadi-ivatloo, A. Rabiee, and M. Ehsan Time-varying acceleration coefficients IPSO for solving dynamic economic dispatch with non-smooth cost function Energy Convers Manage 56 2012 175 183
13. J. Sun, W. Fang, D. Wang, and W. Xu Solving the economic dispatch problem with a modified quantum-behaved particle swarm optimization method Energy Convers Manage 50 12 2009 2967 2975
14. K.T. Chaturvedi, M. Pandit, and L. Srivastava Particle swarm optimization with time varying acceleration coeffients for non-convex economic dispatch Int J Electr Power Energy Syst 31 6 2009 249 257
15. T. Niknam, H.D. Mojarrad, H.Z. Meymand, and B.B. Firouzi A new honey bee mating optimization algorithm for non-smooth economic dispatch Energy 36 2 2011 896 908
16. S.O. Orero, and M.R. Irving Economic dispatch of generators with prohibited operating zones: a genetic algorithm approach IEE Proc Gener Transm Distrib 143 6 1996 529 534
17. C.C. Kuo A novel string structure for economic dispatch problems with practical constraints Energy Convers Manage 49 12 2008 3571 3577
18. C.L. Chiang Genetic-based algorithm for power economic load dispatch IET Gener Transm Distrib 1 2 2007 261 269
19. N. Amjady, and H. Nasiri-Rad Economic dispatch using an efficient real-coded genetic algorithm IET Gener Transm Distrib 3 3 2009 266 278
20. I. Ciornei, and E. Kyriakides A GA-API solution for the economic dispatch of generation in power system operation IEEE Trans Power Syst 27 1 2012 233 242
21. P. Somasundaram, K. Kuppusamy, and D.R.P. Kumuudini Economic dispatch with prohibited operating zones using fast computation evolutionary programming algorithm Electr Power Syst Res 70 3 2004 245 252
22. T. Javabarathi, G. Sadasivam, and V. Ramachandran Evolutionary programming based economic dispatch of generators with prohibited operating zones Electr Power Syst Res 52 3 1999 261 266
23. J.X.V. Neto, D.L.A. Bernert, and L.S. Coelho Improved quantum-inspired evolutionary algorithm with diversity information applied to economic dispatch problem with prohibited operating zones Energy Convers Manage 52 1 2011 8 14
24. N. Sinha, R. Chakrabarti, and P.K. Chattopadhyay Evolutionary programming techniques for economic load dispatch IEEE Trans Power Syst 16 2 2001 307 311
25. W.M. Lin, F.S. Cheng, and M.T. Tsay Nonconvex economic dispatch by integrated artificial intelligence IEEE Trans Power Syst 16 2 2001 307 311
26. A. Pereira-Neto, C. Unsihuay, and O.R. Saavedra Efficient evolutionary strategy optimisation procedure to solve the nonconvex economic dispatch problem with generator constraints IEE Proc Gener Transm Distrib 152 5 2004 653 660
27. L.G. Papageorgiou, and E.S. Fraga A mixed integer quadratic programming formulation for the economic dispatch of generators with prohibited operating zones Electr Power Syst Res 77 10 2007 1292 1296
28. B.K. Panigrahi, S.R. Yadav, S. Agrawal, and M.K. Tiwari A clonal algorithm to solve economic load dispatch Electr Power Syst Res 77 10 2007 1381 1389
29. A. Bhattacharya, and P.K. Chattopadhyay Solving complex economic load dispatch problems using biogeography based optimization Expert Syst Appl 37 5 2010 3605 3615
30. A. Bhattacharya, and P.K. Chattopadhyay Solution of economic power dispatch problems using oppositional biogeography-based optimization Electr Power Compon Syst 38 10 2010 1139 1160
31. S. Pothiya, I. Ngamroo, and W. Kongprawechnon Application of multiple tabu search algorithm to solve dynamic economic dispatch considering generator constraints Energy Convers Manage 49 4 2008 506 516
32. C.L. Chen Non-convex economic dispatch: a direct search approach Energy Convers Manage 48 1 2007 219 225
33. N. Noman, and H. Iba Differential evolution for economic load dispatch problems Electr Power Syst Res 78 8 2008 1322 1331
34. N. Amjady, and H. Sharifzadeh Solution of non-convex economic dispatch problem considering valve loading effect by a new modified differential evolution algorithm Int J Electr Power Energy Syst 32 8 2010 893 903
35. S.K. Wang, J.P. Chiou, and C.W. Liu Non-smooth/non-convex economic dispatch by a novel hybrid differential evolution algorithm IET Gener Transm Distrib 1 5 2007 793 803
36. M. Fesenghary, and M.M. Ardehali A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem Energy 34 6 2009 757 766
37. S. Hemamalini, and S.P. Simon Artificial bee colony algorithm for economic load dispatch problem with non-smooth cost functions Electr Power Compon Syst 38 7 2010 786 803
38. A.I. Selvekumar, and K. Thanushkodi Optimization using civilized swarm: solution to economic dispatch with multiple minima Electr Power Syst Res 79 1 2009 8 16
39. M. Pourakbari-Kasmaei, and M. Rashidi-Nejad An effortless hybrid method to solve economic load dispatch problem in power systems Energy Convers Manage 52 8-9 2011 2854 2860
40. T. Niknam, M.R. Narimani, and R. Azizipanah-Abarghooee A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect Energy Convers Manage 58 2012 197 206
41. B.K. Panigrahi, and V.R. Pandi Bacterial foraging optimisation: Nelder-Mead hybrid algorithm for economic load dispatch IET Gener Transm Distrib 2 4 2008 556 565
42. X. Yang, S.S.S. Hosseini, and A.H. Gandomi Firefly algorithm for solving non-convex economic dispatch problems with valve loading effect Appl Soft Comp 12 3 2012 1180 1186
43. C. Yaşar, and S. Özyön A new hybrid approach for nonconvex economic dispatch problem with valve-point effect Energy 36 10 2011 5838 5845
44. C. Yaşar, and S. Özyön Solution to scalarized environmental economic power dispatch problem by using genetic algorithm Int J Electr Power Energy Syst 38 1 2012 54 62
45. A.J. Wood, and B.F. Wollenberg Power generation operation and control 1996 Wiley New York
46. Karaboǧa D. An idea based on honey bee swarm for numerical optimization. Technical report-TR06. Kayseri, Turkey: Erciyes University, Engineering Faculty, Computer Engineering Department; 2005.
47. D. Karaboǧa, and B. Baştürk A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm J Global Optim 39 3 2007 459 471
48. D. Karaboǧa, and B. Baştürk On the performance of artificial bee colony (ABC) algorithm Appl Soft Comput 8 1 2008 687 697
49. D. Karaboǧa, and B. Akay A modified artificial bee colony algorithm for real-parameter optimization Inf Sci 192 2012 120 142
50. D. Karaboǧa Artificial intelligence optimization algorithms 2004 Atlas Publication Distribution Istanbul
51. Aydin D, Liao T, Montes de Oca M, Stützle T. Improving performance via population growth and local search: the case of the artificial bee colony algorithm. Proc Artif Evol 2011;(EA2011):131-42.
52. M. Montes de Oca, T. Stützle, K. Van den Enden, and M. Dorigo Incremental social learning in particle swarms IEEE Trans Syst Man Cybern Part B 4 2 2011 368 384
53. Tseng L. Chen C. Multiple trajectory search for large scale global optimization. In: Proceeding of IEEE conference on evolutionary computing (CEC2008). IEEE Press; 2008. p. 3052-9.
54. Liao T, Montes de Oca MA, Aydin D, Stützle T, Dorigo M. An incremental ant colony algorithm with local search for continuous optimization problems. In: Proceeding of genetic and evolutionary computation conference (GECCO2011); 2011. p. 125-32.
55. Balaprakash P, Birattari M, Stützle T. Improvement strategies for the f-race algorithm: sampling design and iterative refinement. In: HM 2007. Heidelberg: Springer-Verlag; 2007. p. 108-22.
56. Birattari M, Yuan Z, Balaprakash P, Stützle T. F-race and iterated F-race: an overview. Experimental methods for the analysis of optimization algorithms. Heidelberg: Springer-Verlag; 2010. p. 311-36.