Chaotic ant swarm optimization to economic dispatch

Electric Power Systems Research

Volumn 77, Issue 10, 2007, Pages 1373-1380

  Cai, Jiejin ^a   Ma, Xiaoqian ^a   Li, Lixiang ^b   Yang, Yixian ^b   Peng, Haipeng ^b,c   Wang, Xiangdong ^c  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c SHENYANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Ant colony optimization; Chaotic ant swarm optimization; Economic dispatch; Swarm intelligence

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ELECTRIC LOAD DISPATCHING; OPTIMIZATION; PROBLEM SOLVING; STANDBY POWER SYSTEMS;

ANT COLONY OPTIMIZATION; CHAOTIC ANT SWARM OPTIMIZATION; ECONOMIC DISPATCH; SWARM INTELLIGENCE;

CHAOTIC SYSTEMS;

EID: 34249094804     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2006.10.006     Document Type: Article

References (25)

1. Dodu J.C., Martin P., Merlin A., and Pouget J. An optimal formulation and solution of short-range operating problems for a power system with flow constraints. Proc. IEEE 60 1 (1972) 54-63
2. Jabr R.A., Coonick A.H., and Cory B.J. A homogeneous linear programming algorithm for the security constrained economic dispatch problem. IEEE Trans. Power Syst. 15 3 (2000) 930-936
3. Chen C.L., and Wang S.C. Branch-and bound scheduling for thermal generating units. IEEE Trans. Energy Convers. 8 2 (1993) 184-189
4. Granelli G.P., and Montagna M. Security-constrained economic dispatch using dual quadratic programming. Electr. Power Syst. Res. 56 1 (2000) 71-80
5. Nanda J., Hari L., and Kothari M.L. Economic emission load dispatch with line flow constraints using a classical technique. IEE Proc. Gener. Transm. Distrib. 141 1 (1994) 1-10
6. El-Keib A.A., Ma H., and Hart J.L. Environmentally constrained economic dispatch using the Lagrangian relaxation method. IEEE Trans. Power Syst. 9 4 (1994) 1723-1729
7. Youssef H.K., and El-Naggar K.M. Genetic based algorithm for security constrained power system economic dispatch. Electr. Power Syst. Res. 53 1 (2000) 47-51
8. Ongsakul W., and Tippayachai J. Parallel micro genetic algorithm based on merit order loading solutions for constrained dynamic economic dispatch. Electr. Power Syst. Res. 61 2 (2002) 77-88
9. Kim J.O., Shin D.J., Park J.N., and Singh C. Atavistic genetic algorithm for economic dispatch with valve point effect. Electr. Power Syst. Res. 62 3 (2002) 201-207
10. Su C.T., and Chiou G.J. A fast-computation Hopfield method to economic dispatch of power systems. IEEE Trans. Power Syst. 12 4 (1997) 1759-1764
11. Su C.T., and Lin C.T. New approach with a Hopfield modeling framework to economic dispatch. IEEE Trans. Power Syst. 15 2 (2000) 541-545
12. Lin W.M., Cheng F.S., and Tsay M.T. Nonconvex economic dispatch by integrated artificial intelligence. IEEE Trans. Power Syst. 16 2 (2001) 307-313
13. Jayabarathi T., Sadasivam G., and Ramachandran V. Evolutionary programming based economic dispatch of generators with prohibited operating zones. Electr. Power Syst. Res. 52 3 (1999) 261-266
14. Somasundaram P., Kuppusamy K., and Devi R.P.K. Chattopadhyay, Economic dispatch with prohibited operating zones using fast computation evolutionary programming algorithm. Electr. Power Syst. Res. 70 3 (2004) 245-252
15. Park J.B., Lee K.S., Shin J.R., and Lee K.Y. A particle swarm optimization for economic dispatch with nonsmooth cost functions. IEEE Trans. Power Syst. 20 3 (2005) 34-42
16. Song Y.H., Chou C.S., and Stonham T.J. Combined heat and power economic dispatch by improved ant colony search algorithm. Electr. Power Syst. Res. 52 2 (1999) 115-121
17. Dorigo M., Maniezzo V., and Colorni A. Ant system: optimization by a colony of cooperating agents. IEEE Trans. Syst., Man, Cybern. Part B 26 3 (1996) 29-41
18. Dorigo M., and Gambardella L.M. Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans. Evol. Comput. 1 1 (1997) 53-66
19. Dorigo M., and DiCaro G. Ant algorithms for discrete optimization. Artif. Life 5 3 (1999) 137-172
20. Bilchev G., and Parmee I.C. The ant colony metaphor for searching continuous design spaces. Lect. Notes Comput. Sci. 993 1 (1995) 25-39
21. Wodrich M., and Bilchev G. Cooperative distributed search: the ants' way. Contr. Cybern. 26 1 (1997) 413-446
22. Mathur M., Karale S.B., Priyee S., Jayaraman V.K., and Kulkarni B.D. Ant colony approach to continuous function optimization. Ind. Eng. Chem. Res. 39 10 (2000) 3814-3822
23. Dreo J., and Siarry P. A new ant colony algorithm using the heterarchical concept aimed at optimization of multiminima continuous functions. Lect. Notes Comput. Sci. 2463 1 (2002) 216-221
24. Ho S.L., Yang S., Wong H.C.K.W.E., Cheng K.W.E., and Ni G. An improved ant colony optimization algorithm and its application to electromagnetic devices designs. IEEE Trans. Magn. 41 5 (2005) 1764-1767
25. Li L.X., Yang Y.X., Peng H.P., and Wang X.D. Parameters identification of chaotic systems via chaotic ant swarm, chaos, chaos. Soliton Fractals 28 5 (2006) 1204-1211