A new hybrid approach for nonconvex economic dispatch problem with valve-point effect

Energy

Volumn 36, Issue 10, 2011, Pages 5838-5845

  Yaşar, Celal ^a   Özyön, Serdar ^a  

^a DUMLUPINAR UNIVERSITY   (Turkey)

Author keywords

Harmony search algorithm; Modified subgradient algorithm; Nonconvex cost function; Valve point effect

Indexed keywords

ALGORITHMS; BUSES;

ECONOMIC DISPATCH PROBLEMS; HARMONY SEARCH; HARMONY SEARCH ALGORITHMS; HYBRID APPROACH; MATRIX; NONCONVEX COST FUNCTIONS; NONCONVEX ECONOMIC DISPATCHES; NONCONVEX OPTIMIZATION PROBLEM; OPTIMAL SOLUTIONS; SUB-GRADIENT ALGORITHM; SUBGRADIENT; SYSTEM LOSS; TEST SYSTEMS; VALVE POINT EFFECTS;

OPTIMIZATION;

ALGORITHM; ECONOMIC ANALYSIS; LITERATURE REVIEW; OPTIMIZATION;

EID: 80053454438     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2011.08.041     Document Type: Article

References (29)

1. Yuan X., Wang L., Zhang Y., Yuan Y. A hybrid differential evolution method for dynamic economic dispatch with valve-point effects. Expert Systems with Applications 2009, 36:4042-4048.
2. Selvekumar A.I., Thanushkodi K. Anti-predatory particle swarm optimization: solution to nonconvex economic dispatch problems. Electric Power Systems Research 2008, 78:2-10.
3. Malik T.N., Asar A., Wyne M.F., Akhtar S. A new hybrid approach for the solution of nonconvex economic dispatch problem with valve-point effects. Electric Power Systems Research 2010, 80:1128-1136.
4. Labbi Y., Attous D. Big bang-big crunch optimization algorithm for economic dispatch with valve-point effect. Journal of Theoretical and Applied Information Technology 2010, 16:48-56.
5. Lin W.M., Gow H.J., Tsay M.T. A partition approach algorithm for nonconvex economic dispatch. Electrical Power and Energy Systems 2007, 29:432-438.
6. Abido M.A. Multiobjective particle swarm optimization for environmental economic dispatch problem. Electrical Power Systems Research 2009, 79:1105-1113.
7. Palanichamy C., Babu N.S. Analytical solution for combined economic and emissions dispatch. Electric Power Systems Research 2008, 78:1129-1137.
8. El Ela A.A.A., Abido M.A., Spea S.R. Differential evolution algorithm for emission constrained economic power dispatch problem. Electric Power Systems Research 2010, 80:1286-1292.
9. Abido M.A. Multiobjective evolutionary algorithm for electric power dispatch problem. IEEE Transactions on Evolutionary Computation 2006, 10:315-329.
10. Abido M.A. Environmental/economic power dispatch using multiobjective evolutionary algorithms. IEEE Transactions on Power Systems 2003, 18:1529-1537.
11. Rajan C.C.A. A solution to the economic dispatch using EP based SA algorithm on large scale power system. Electric Power and Energy Systems 2010, 32:583-591.
12. Noman N., Iba H. Differential evolution for economic load dispatch problems. Electric Power Systems Research 2008, 78:1322-1331.
13. Alsumait J.S., Sykulski a J.K., Al-Othman A.K. A hybrid GA-PS-SQP method to solve power system valve-point economic dispatch problems. Applied Energy 2010, 87:1773-1781.
14. Niknam T. A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem. Applied Energy 2010, 87:327-339.
15. Niknam T., Mojarrad H.D., Nayeripour M. A new fuzzy adaptive particle swarm optimization for non-smooth economic dispatch. Energy 2010, 35:1764-1778.
16. Yuan X., Su A., Yuan Y., Nie H., Wang L. An improved PSO for dynamic load dispatch of generators with valve-point effects. Energy 2009, 34:67-74.
17. Balakrishnan S., Kannan P.S., Aravindan C., Subathra P. On-line emission and economic load dispatch using adaptive Hopfield neural network. Applied Soft Computing 2003, 2:297-305.
18. Guerrero REP, Maldonado JRC. Economic power dispatch with non-smooth cost functions using differential evolution, Power Symposium NAPS 2005, Proceedings of the 37th Annual North American:183-190.
19. Tippayachai J., Ongsakul W., Ngamroo I. Non convex economic dispatch by enhanced tabu search algorithm. IEEE Power Engineering Society General Meeting 13-17 July 2003, 2:908-913.
20. Fesanghary M., Ardehali M.M. A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem. Energy 2009, 34:757-766.
21. Niknam T., Mojarrad H.D., Meymand H.Z., Firouzi B.B. A new honey bee mating optimization for non-smooth economic dispatch. Energy 2011, 36:896-908.
22. Wood A.J., Wollenberg B.F. Power generation operation & control 1996, John Wiley & Sons.
23. Kasimbeyli R., Üstün Ö, Rubinov A.M. The modified subgradient algorithm based on feasible values, Optimization. A Journal of Mathematical Programming and Operations Research 2009, 58:535-560.
24. Ayvaz MT, Karahan H, Gürarslan G. The optimum design of water distribution networks by using harmony search optimization technique, Proceedings of 5th National Symposium on Urban Infrastructure 2007; 188-202 (In Turkish).
25. Geem Z.W., Kim J.H., Loganathan G.V. A new heuristic optimization algorithm: harmony search. Simulation 2001, 76(2):60-68.
26. Lee K.S., Geem Z.W. A new structural optimization method based on the harmony search algorithm. Computers and Structures 2004, 82(9-10):781-798.
27. Lee K.S., Geem Z.W. A new meta-heuristic algorithm for continues engineering optimization: harmony search theory and practice. Computer Method in Applied Mechanics and Engineering 2004, 194:3902-3933.
28. Mahdavi M., Fesanghary M., Damangir E. An improved harmony search algorithm for solving optimization problems. Applied Mathematics and Computation 2007, 188:1567-1579.
29. Özyön S., Yaşar C., Temurtaş H. Particle swarm optimization algorithm applied to economic emission load dispatch problems, 6 th International Advanced Technologies Symposium (IATS'11), Elaziĝ, TURKEY. Proceedings of Electrical & Electronics Technologies Papers 16-18 May 2011, 4:175-180.