Solution to scalarized environmental economic power dispatch problem by using genetic algorithm

International Journal of Electrical Power and Energy Systems

Volumn 38, Issue 1, 2012, Pages 54-62

  Yaşar, Celal ^a   Özyön, Serdar ^a  

^a DUMLUPINAR UNIVERSITY   (Turkey)

Author keywords

Conic scalarization method; Environmental economic power dispatch; Genetic algorithm; Pareto optimal solutions

Indexed keywords

COSTS; ELECTRIC POWER SYSTEMS; GENETIC ALGORITHMS; OPTIMAL SYSTEMS; OPTIMIZATION; PARETO PRINCIPLE; POLLUTION;

ENVIRONMENTAL ECONOMIC POWER DISPATCHES; ENVIRONMENTAL POLLUTIONS; PARETO OPTIMAL SOLUTIONS; POWER GENERATION UNITS; SCALARIZATION METHOD; SINGLE OBJECTIVE OPTIMIZATION PROBLEMS; SOLUTION ALGORITHMS; WEIGHTED SUM METHOD;

ELECTRIC LOAD DISPATCHING;

EID: 84862010508     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2011.12.020     Document Type: Article

References (27)

1. Wood AJ, Wollenberg BF. Power generation operation and control. New York: Wiley; 1996.
2. Zhang PX, Zhao B, Cao YJ, Cheng SJ. A novel multi-objective genetic algorithm for economic power dispatch. In: Universities power engineering conference, UPEC 2004, 39th international, vol. 1; 6-8 September, 2004. p. 422-6. (Pubitemid 43205924)
3. Gong D, Zhang Y, Qi C. Environmental/economic power dispatch using a hybridmultiobjective optimization algorithm. Int J Electr Pow Energy Syst 2010;32(6):607-14.
4. Wang L, Singh C. Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm. Electr Power Syst Res 2007;77(12):1654-64. (Pubitemid 47348219)
5. Talaq JH, El-Hawary F, El-Hawary ME. A summary of environmental/economic dispatch algorithms. IEEE Trans Power Syst 1994;9(3):1508-16.
6. Basu M. Economic environmental dispatch of hydrothermal power system. Int J Electr Power Energy Syst 2010;32(6):711-20.
7. Zitzler E, Thiele L. Multiobjective optimization using evolutionary algorithms-a comparative case study. In: Parallel problem solving from nature-PPSN V. Amsterdam, The Netherlands: Springer-Verlag; September 1998. p. 292-301.
8. Gasimov RN. Characterization of the Benson proper efficiency and scalarization in nonconvex vector optimization. In: Köksalan M, Zionts S. editors, Multiple criteria decision making in the new millennium. Lecture notes in economics and mathematical systems, vol. 507. 2001. p. 189-98. (Pubitemid 33355614)
9. Gasimov RN, Sipahioǧlu A, Saraç T. A multi-objective programming approach to 1.5-dimensional assortment problem. Euro J Operat Res 2007;179(7-8):64-79. (Pubitemid 44809563)
10. Ismayilova NA, Saǧir M, Gasimov RN. A multi-objective faculty-course-time slot assignment problemwith preferences. Mathe ComputModell 2007;46(2):1017-29. (Pubitemid 47302235)
11. Özdemir MS, Gasimov RN. The analytic hierarchy process and multiobjective 0-1 faculty course assignment. Euro J Operat Res 2004;157(1):398-408.
12. Yalçinöz T, Altun H. Environmentally constrained economic dispatch via a genetic algorithm with arithmetic crossover. In: African conference in Africa, IEEE AFRICON 6th, vol. 2; 2-4 October, 2002. p. 923-8.
13. Ah King RTF, Rughooputh HCS. Elitist multiobjective evolutionary algorithm for environmental/economic dispatch. In: The 2003 congress on IEEE evolutionary computation, CEC'03, vol. 2; 8-12 December. p. 1108-14.
14. Cai J, Ma X, Li Q, Li L, Peng H. A multi-objective chaotic ant swarm optimization for environmental/economic dispatch. Int J Electr Power Energy Syst 2010;32(5):337-44.
15. Cai J, Ma X, Li Q, Li L, Peng H. A multi-objective chaotic particle swarm optimization for environmental/economic dispatch. Energy Convers Manage 2009;50(5):1318-25.
16. Yaşar C, Fadil S. Solution to environmental economic dispatch problem by using first order gradient method. In: 5th International conference on electrical and electronics engineering, ELECO'2007, Electric control proceeding 91-95. Turkey: Bursa;5-7 December, 2007.
17. Yaşar C, Özyön S, Temurtaş H. Solution to environmental economic power dispatch problem composed of only thermal units by using genetic algorithm. In: ELECO'2008, Electrical and control volume. Turkey: Bursa;26-30 November, 2008. p. 105-9 [in Turkish].
18. Özyön S, Yasšar C, Yilmaz A, Temurtaş H. Solution to environmental economic power dispatch problems in hydrothermal power systems by using genetic algorithm. In: Proceeding 6th international conference on electrical and electronics engineering, ELECO'2009, vol. 1. Turkey: Bursa;5-8 November, 2009. p. 387-91.
19. Mendes VMF. Strategic economy and emission management for fossil-fired thermal units. In: 5th International conference on the European electricity market, EEM. 28-30 May, 2008. p. 1-6.
20. Abido MA. Environmental/economic power dispatch using multiobjective evolutionary algorithms. IEEE Trans Power Syst 2003;18(4):1529-37.
21. Dhanalakshmi S, Kannan S, Mahadevan K, Baskar S. Application of modified NSGA-II algorithm to combined economic and emission dispatch problem. Int J Electr Power Energy Syst 2011;33(9):992-1002.
22. Hota PK, Barisal AK, Chakrabarti R. Economic emission load dispatch through fuzzy based bacterial foraging algorithm. Int J Electr Power Energy Syst 2010;32(7):794-803.
23. Shaw B, Mukherjee V, Ghoshal SP. A novel opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems. Int J Electr Power Energy Syst, in press. doi:10.1016/j.ijepes.2011.08. 012.
24. Catalão JPS, Mariano SJPS, Mendes VMF, Ferreira LAFM. Short-term scheduling of thermal units: emission constraints and trade-off curves. Euro Trans Electr Power 2008;18(1):1-14. (Pubitemid 351184657)
25. Özyön S. The application of genetic algorithm to some environmental economic power dispatch problems. M. Sc. Thesis, Dumlupinar University; 2009. p. 136 [in Turkish].
26. Goldberg David E. Genetic algorithms in search, optimization, and machine learning. Addison-Wesley Publishing Company, Inc.; 1989.
27. Yang HT, Huang CM, Lee HM, Huang CL. Multiobjective power dispatch using fuzzy linear programming. In: International Conference on IEEE energy management and power delivery, proceedings of EMPD'95, 1995, vol. 2. 21-23 November 1995. p. 738-43.