Crisscross optimization algorithm for large-scale dynamic economic dispatch problem with valve-point effects

Energy

Volumn 93, Issue , 2015, Pages 2175-2190

  Meng, Anbo ^a   Hu, Hanwu ^a   Yin, Hao ^a   Peng, Xiangang ^a   Guo, Zhuangzhi ^a  

^a GUANGDONG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Crisscross optimization algorithm; Dynamic economic dispatch; Horizontal crossover; Ramp rate; Valve point effects; Vertical crossover

Indexed keywords

ALGORITHMS; CONVEX OPTIMIZATION; ELECTRIC LOAD DISPATCHING; HEURISTIC METHODS; SCHEDULING;

DYNAMIC ECONOMIC DISPATCH; HORIZONTAL CROSSOVER; OPTIMIZATION ALGORITHMS; RAMP RATES; VALVE POINT EFFECTS; VERTICAL CROSSOVER;

OPTIMIZATION;

ALGORITHM; DYNAMIC ANALYSIS; ELECTRICITY GENERATION; ENERGY EFFICIENCY; FEASIBILITY STUDY; HEURISTICS; MACHINERY; OPTIMIZATION;

EID: 84958205705     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2015.10.112     Document Type: Article

References (63)

1. [1] Yuana, X., Liang, W., Yuanb, Z.Y., A hybrid differential evolution method for dynamic economic dispatch with valve-point effects. Expert Syst Appl 36:2 (2009), 4042–4048.
2. [2] Han, X.S., Gooi, H.B., Effective economic dispatch model and algorithm. Int J Electr Power Energy Syst 29:2 (2007), 113–120.
3. [3] Mandal, B., Roy, P.K., Mandal, S., Economic load dispatch using krill herd algorithm. Int J Electr Power Energy Syst 57:5 (2014), 1–10.
4. [4] Zhang, Y., Gong, D., Geng, N., Sun, X., Hybrid bare-bones PSO for dynamic economic dispatch with valve-point effects. Appl Soft Comp 18:4 (2014), 248–260.
5. [5] Somuah, C.B., Khunaizi, N., Application of linear programming redispatch technique to dynamic generation allocation. IEEE Trans Power Syst 5:1 (1990), 20–26.
6. [6] Papageorgiou, L.G., Fraga, E.S., A mixed integer quadratic programming formulation for the economic dispatch of generators with prohibited operating zones. Electr Power Syst Res 77 (2007), 1292–1296.
7. [7] Hemamalini, S., Simon, S.P., Dynamic economic dispatch using Maclaurin series based Lagrangian method. Energy Convers Manag 51 (2010), 2212–2219.
8. [8] Theerthamalai, A., Maheswarapu, S., An effective non-iterative “λ-logic based” algorithm for economic dispatch of generators with cubic fuel cost function. Int J Electr Power Energy Syst 32 (2010), 539–542.
9. [9] Xu, B., Zhong, P., Zhao, Y., Zhu, Y., Zhang, G., Comparison between dynamic programming and genetic algorithm for hydro unit economic load dispatch. Water Sci Eng 7 (2014), 420–432.
10. [10] Travers, D.L., Kaye, R., Dynamic dispatch by constructive dynamic programming. IEEE Trans Power Syst 13:1 (1998), 72–78.
11. [11] Xia, X., Elaiw, A.M., Optimal dynamic economic dispatch of generation: a review. Electr Power Syst Res 80 (2010), 975–986.
12. [12] Li, F., Morgan, R., Williams, D., Hybrid genetic approaches to ramping rate constrained dynamic economic dispatch. Electr Power Syst Res 43:2 (1997), 97–103.
13. [13] Mahor, A., Prasad, V., Rangnekar, S., Economic dispatch using particle swarm optimization: a review. Renew Sust Energy Rev 13:8 (2009), 2134–2141.
14. [14] Basu, M., Panigrahi, C.K., Chakrabarti, R.N., Chattopadhyay, P.K., Simulated annealing technique for dynamic economic dispatch. Electr Power Comp Syst 34:5 (2006), 577–586.
15. [15] Hemamalini, S., Simon, S.P., Dynamic economic dispatch using artificial immune system for units with valve-point effect. Int J Electr Power Energy Syst 33:4 (2011), 868–874.
16. [16] Hemamalini, S., Simon, S.P., Dynamic economic dispatch using artificial bee colony algorithm for units with valve-point effect. Eur Trans Electr Power 21:1 (2011), 70–81.
17. [17] Attaviriyanupap, P., Kita, H., Tanaka, E., Hasegawa, J., A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function. IEEE Trans Power Syst 17:4 (2002), 411–416.
18. [18] Subramanian, R.B.S., Differential evolution-based dynamic economic dispatch of generating units with valve-point effects. Electr Power Comp Syst 36:8 (2008), 828–843.
19. [19] Pandi, V.R., Panigrahi, B.K., Dynamic economic load dispatch using hybrid swarm intelligence based harmony search algorithm. Expert Syst Appl 38:7 (2011), 8509–8514.
20. [20] Sivasubramani, S., Swarup, K.S., Hybrid SOA–SQP algorithm for dynamic economic dispatch with valve-point effects. Energy 35:12 (2010), 5031–5036.
21. [21] Mohammadi-Ivatloo, B., Rabiee, A., Soroudi, A., Ehsan, M., Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch. Energy 44:1 (2012), 228–240.
22. [22] Banerjee, S., Maity, D., Chanda, C.K., Teaching learning based optimization for economic load dispatch problem considering valve point loading effect. Int J Electr Power Energy Syst 73 (2015), 456–464.
23. [23] Cai, J., Ma, X., Li, L., Hai, P., Chaotic particle swarm optimization for economic dispatch considering the generator constraints. Energy Convers Manag 48:2 (2007), 645–653.
24. [24] Wang, Y., Zhou, J., Lu, Y., Qin, H., Wang, Y., Chaotic self-adaptive particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects. Expert Syst Appl 38 (2011), 14231–14237.
25. [25] Panigrahi, B.K., Pandi, V.R., Das, S., Adaptive particle swarm optimization approach for static and dynamic economic load dispatch. Energy Convers Manag 49:6 (2008), 1407–1415.
26. [26] Yuan, X., Su, A., Yuan, Y., Nie, H., Wang, L., An improved PSO for dynamic load dispatch of generators with valve-point effects. Energy 34:1 (2009), 67–74.
27. [27] Aghaei, J., Niknam, T., Azizipanah-Abarghooee, R., Arroyo, J., Scenario-based dynamic economic emission dispatch considering load and wind power uncertainties. Int J Electr Power Energy Syst 47:1 (2013), 351–367.
28. [28] Wang, Y., Zhou, J., Qin, H., Lu, Y., Improved chaotic particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects. Energy Convers Manag 51:12 (2010), 2893–2900.
29. [29] Niknam, T., Golestaneh, F., Enhanced adaptive particle swarm optimisation algorithm for dynamic economic dispatch of units considering valve-point effects and ramp rates. IET Gener Transm Distrib 6:5 (2012), 424–435.
30. [30] Mohammadi-Ivatloo, B., Rabiee, A., Ehsan, M., Time-varying acceleration coefficients IPSO for solving dynamic economic dispatch with non-smooth cost function. Energy Convers Manag 56:4 (2012), 175–183.
31. [31] Niknam, T., Mojarrad, H.D., Nayeripour, M., A new fuzzy adaptive particle swarm optimization for non-smooth economic dispatch. Energy 35:4 (2010), 1764–1778.
32. [32] Yuan, X., Wang, L., Yuan, Y., Zhang, Y., Cao, B., Yang, B., A modified differential evolution approach for dynamic economic dispatch with valve-point effects. Energy Convers Manag 49:12 (2008), 3447–3453.
33. [33] Lu, Y., Zhou, J., Qin, H., Wang, Y., Zhang, Y., Chaotic differential evolution methods for dynamic economic dispatch with valve-point effects. Eng Appl Artif Intel 24:2 (2011), 378–387.
34. [34] Balamurugan, R., Subramanian, S., An improved differential evolution based dynamic economic dispatch with nonsmooth fuel cost function. J Electr Syst 3 (2007), 151–161.
35. [35] Coelho, L.D.S., Mariani, V.C., Improved differential evolution algorithms for handling economic dispatch optimization with generator constraints. Energy Convers Manag 48:5 (2007), 1631–1639.
36. [36] He, D., Dong, G., Wang, F., Mao, Z., Optimization of dynamic economic dispatch with valve-point effect using chaotic sequence based differential evolution algorithms. Energy Convers Manag 52:2 (2011), 1026–1032.
37. [37] Niknam, Taher, Golestaneh, Faranak, Enhanced bee swarm optimization algorithm for dynamic economic dispatch. IEEE Syst J 7 (2013), 754–762.
38. [38] Niknam, Taher, Azizipanah-Abarghooee, Rasou, Aghaei, Jamshid, A new modified teaching-learning algorithm for reserve constrained dynamic economic dispatch. IEEE Trans Power Syst 28 (2013), 749–763.
39. [39] Niknam, Taher, Azizipanah-Abarghooee, Rasou, Roosta, Alireza, Reserve constrained dynamic economic dispatch: a new fast self-adaptive modified firefly algorithm. IEEE Syst J 6 (2012), 635–646.
40. [40] Alsumait, J.S., Qasem, M., Sykulski, J.K., Al-Othman, A.K., An improved pattern search based algorithm to solve the dynamic economic dispatch problem with valve-point effect. Energy Convers Manag 51:10 (2010), 2062–2067.
41. [41] Yuan, X., Ji, B., Zhang, S., Tian, H., Chen, Z., An improved artificial physical optimization algorithm for dynamic dispatch of generators with valve-point effects and wind power. Energy Convers Manag 82 (2014), 92–105.
42. [42] Neto, J., Bernert, D., Coelho, L.S., Improved quantum-inspired evolutionary algorithm with diversity information applied to economic dispatch problem with prohibited operating zones. Energy Convers Manag 52:1 (2011), 8–14.
43. [43] Lu, P., Zhou, J., Zhang, H., Zhang, R., Wang, C., Chaotic differential bee colony optimization algorithm for dynamic economic dispatch problem with valve-point effects. Electr Power Energy Syst 62:11 (2014), 130–143.
44. [44] Mohammadi-Ivatloo, Behnam, Rabiee, Abbas, Soroudi, Alireza, Nonconvex dynamic economic power dispatch problems solution using hybrid immune-genetic algorithm. IEEE Syst J 7:4 (2013), 777–785.
45. [45] Basu, M., Hybridization of artificial immune systems and sequential quadratic programming for dynamic economic dispatch. Electr Power Comp Syst 37:9 (2009), 1036–1045.
46. [46] Aruldoss Albert Victoire, T., Ebenezer Jeyakumar, A., A modified hybrid EP-SQP approach for dynamic dispatch with valve-point effect. Electr Power Energy Syst 27 (2005), 594–601.
47. [47] Chen, Y., Wen, J., Jiang, L., Cheng, S., Hybrid algorithm for dynamic economic dispatch with valve-point effects. IET Gener Transm Distrib 7:10 (2013), 1096–1104.
48. [48] Wang, M., Gooi, H.B., Chen, S.X., Lu, S., A mixed integer quadratic programming for dynamic economic dispatch with valve point effect. IEEE Trans Power Syst 29:5 (2014), 2097–2106.
49. [49] Aruldoss Albert Victoire, T., Ebenezer Jeyakumar, A., Deterministically guided PSO for dynamic dispatch considering valve-point effect. Electr Power Syst Res 73 (2005), 313–322.
50. [50] Aruldoss Albert, T., Ebenezer Jeyakumar, A., Reserve constrained dynamic dispatch of units with valve-point effects. IEEE Trans Power Syst 20:3 (2005), 1273–1282.
51. [51] Chakraborty, S., Senjyu, T., Yona, A., Saber, A.Y., Funabashi, T., Solving economic load dispatch problem with valve-point effects using a hybrid quantum mechanics inspired particle swarm optimisation. IET Gener Transm Distrib 5:10 (2011), 1042–1052.
52. [52] Yuan, X., Wang, L., Zhang, Y., Yuan, Y., A hybrid differential evolution method for dynamic economic dispatch with valve-point effects. Expert Syst Appl 36:2 (2009), 4042–4048.
53. [53] Lu, Y., Zhou, J., Qin, H., Li, Y., Zhang, Y., An adaptive hybrid differential evolution algorithm for dynamic economic dispatch with valve-point effects. Expert Syst Appl 37:7 (2010), 4842–4849.
54. [54] Immanuel Selvakumar, A., Enhanced cross-entropy method for dynamic economic dispatch with valve-point effects. Electr Power Energy Syst 33:3 (2011), 783–790.
55. [55] Meng, A., Chen, Y., Yin, H., Chen, S., Crisscross optimization algorithm and its application. Knowl Based Syst 67:3 (2014), 218–229.
56. [56] Zwe-Lee, Gaing, Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans Power Syst 18:3 (2003), 1187–1195.
57. [57] Yang, H., Yi, J., Zhao, J., Dong, Z., Extreme learning machine based genetic algorithm and its application in power system economic dispatch. Neurocomputing 102:2 (2013), 154–162.
58. [58] Abdelaziz, A.Y., Kamh, M.Z., Mekhamer, S.F., Badr, M.A.L., A hybrid HNN-QP approach for dynamic economic dispatch problem. Electr Power Syst Res 78 (2008), 1784–1788.
59. [59] Niknam, T., Azizipanah-Abarghooee, R., Zare, M., Bahmani-Firouzi, B., Reserve constrained dynamic environmental/economic dispatch: a new multiobjective self-adaptive learning bat algorithm. IEEE Syst J 7:4 (2013), 763–776.
60. [60] Arul, R., Velusami, S., Ravi, G., A new algorithm for combined dynamic economic emission dispatch with security constraints. IEEE Syst J 7:4 (2013), 763–776.
61. [61] Osóior, G.J., Lujano-Rojas, J.M., Matias, J.C.O., Catalão, J.P.S., A probabilistic approach to solve the economic dispatch problem with intermittent renewable energy sources. Energy 82 (2015), 949–959.
62. [62] Klemeš, J., Huisingh, D., Economic use of renewable resources, LCA, cleaner batch processes and minimising emissions and wastewater. Energy 16 (2008), 159–163.
63. [63] Sorknæs, P., Lund, H., Andersen, A., Future power market and sustainable energy solutions-the treatment of uncertainties in the daily operation of combined heat and power plants. Appl energ 14 (2015), 129–138.