Hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch

IEEE Transactions on Power Systems

Volumn 25, Issue 4, 2010, Pages 1955-1964

  Bhattacharya, Aniruddha ^a   Chattopadhyay, Pranab Kumar ^a  

^a Department of Electrical Engineering ^*  (India)

Author keywords

Biogeography based optimization; differential evolution; economic load dispatch; prohibited operating zone; ramp rate limits; valve point loading

Indexed keywords

BIOGEOGRAPHY-BASED OPTIMIZATIONS; DIFFERENTIAL EVOLUTION; ECONOMIC LOAD DISPATCH; PROHIBITED OPERATING ZONE; RAMP RATE LIMITS; VALVE-POINT LOADINGS;

BIOLOGY; CONVERGENCE OF NUMERICAL METHODS; EVOLUTIONARY ALGORITHMS; FOSSIL FUEL POWER PLANTS; GLOBAL OPTIMIZATION; LOADING; MATHEMATICAL MODELS;

OPTIMIZATION;

EID: 77958512871     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2010.2043270     Document Type: Article

References (28)

1. A. A. El-Keib, H. Ma, and J. L. Hart, "Environmentally constrained economic dispatch using the Lagrangian relaxation method," IEEE Trans. Power Syst., vol.9, no.4, pp. 1723-1729, Nov. 1994.
2. J.Wood and B. F.Wollenberg, Power Generation, Operation, and Control, 2nd ed. New York: Wiley, 1984.
3. P. H. Chen and H. C. Chang, "Large-scale economic dispatch by genetic algorithm," IEEE Trans. Power Syst., vol.10, no.4, pp. 1919-1926, Nov. 1995.
4. C.-T. Su and C.-T. Lin, "New approach with a Hopfield modeling framework to economic dispatch," IEEE Trans. Power Syst., vol.15, no.2, p. 541, May 2000.
5. K. P. Wong and C. C. Fung, "Simulated annealing based economic dispatch algorithm," Proc. Inst. Elect. Eng., Gen., Transm., Distrib., vol.140, no.6, pp. 509-515, Nov. 1993.
6. T. Jayabarathi, G. Sadasivam, and V. Ramachandran, "Evolutionary programming based economic dispatch of generators with prohibited operating zones," Elect. Power Syst. Res., vol.52, pp. 261-266, 1999.
7. Z.-L. Gaing, "Particle swarm optimization to solving the economic dispatch considering the generator constraints," IEEE Trans. Power Syst., vol.18, no.3, pp. 1187-1195, Aug. 2003.
8. Y. H. Hou, Y. W. Wu, L. J. Lu, and X. Y. Xiong, "Generalized ant colony optimization for economic dispatch of power systems," in Proc. Int. Conf. Power System Technology, Power-Con 2002, Oct. 13-17, 2002, vol.1, pp. 225-229.
9. N. Nomana and H. Iba, "Differential evolution for economic load dispatch problems," Elect. Power Syst. Res., vol.78, no.3, pp. 1322-1331, 2008.
10. B. K. Panigrahi, S. R. Yadav, S. Agrawal, and M. K. Tiwari, "A clonal algorithm to solve economic load dispatch," Elect. Power Syst. Res., vol.77, no.10, pp. 1381-1389, 2007.
11. B. K. Panigrahi and V. R. Pandi, "Bacterial foraging optimization: Nelder-Mead hybrid algorithm for economic load dispatch," IET Gen., Transm., Distrib., vol.2, no.4, pp. 556-565, 2008.
12. N. Sinha, R. Chakrabarti, and P. K. Chattopadhyay, "Evolutionary programming techniques for economic load dispatch," IEEE Trans. Evol. Comput., vol.7, no.1, pp. 83-94, Feb. 2003.
13. I. Selvakumar and K. Thanushkodi, "A new particle swarm optimization solution to nonconvex economic dispatch problems," IEEE Trans. Power Syst., vol.22, no.1, pp. 42-51, Feb. 2007.
14. B. K. Panigrahi, V. R. Pandi, and S. Das, "Adaptive particle swarm optimization approach for static and dynamic economic load dispatch," Energy Convers. Manage., vol.49, no.6, pp. 1407-1415, 2008.
15. K. T. Chaturvedi, M. Pandit, and L. Srivastava, "Self-organizing hierarchical particle swarm optimization for nonconvex economic dispatch," IEEE Trans. Power Syst., vol.23, no.3, pp. 1079-1087, Aug. 2008.
16. R. Storn and K. Price, Differential Evolution-A Simple And Efficient Adaptive Scheme For Global Optimization Over Continuous Spaces, Int. Comput. Sci. Inst., Berkeley, CA, Tech. Rep. TR-95-1012, Mar. 1995.
17. D. Simon, "Biogeography-based optimization," IEEE Trans. Evol. Comput., vol.12, no.6, pp. 702-713, Dec. 2008.
18. D. Simon, M. Ergezer, and D. Du, Markov Analysis of Biogeography- Based Optimization. [Online]. Available: http://academic.csuohio.edu/ simond/bbo/markov/.
19. D. Simon, M. Ergezer, and D. Du, Population Distributions in Biogeography- Based Optimization With Elitism. [Online]. Available: http:// academic.csuohio.edu/simond/bbo/markov/.
20. A. Bhattacharya and P. K. Chattopadhyay, "Biogeography-based optimization for different economic load dispatch problems," IEEE Trans. Power Syst. [Online]. Available: http://ieeexplore.ieee.org/xpl/ tocpreprint.jsp?isnumber=4374138&punumber=59.
21. R. Storn and K. Price, Home Page of Differential Evolution, 2008. [Online]. Available: http://www.ICSI.Berkeley.edu/~storn/code.html.
22. K. Price, R. Storn, and J. Lampinen, Differential Evolution: A Practical Approach to Global Optimization. Berlin, Germany: Springer- Verlag, 2005.
23. W. Gong, Z. Cai, and C. X. Ling, DE/BBO: A Hybrid Differential Evolution With Biogeography-Based Optimization for Global Numerical Optimization. [Online]. Available: http://embeddedlab. csuohio.edu/BBO/.
24. M. Sydulu, "A very fast and effective non-iterative "Lamda Logic Based" algorithm for economic dispatch of thermal units," in Proc. IEEE Region 10 Conf. TENCON, Sep. 15-17, 1999, vol.2, pp. 1434-1437.
25. K. T. Chaturvedi, M. Pandit, and L. Srivastava, "Particle swarm optimization with time varying acceleration coefficients for non-convex economic power dispatch," Int. J. Elect. Power Energy Syst., vol.31, no.6, pp. 249-257, Jul. 2009.
26. J. K. Vlachogiannis and K. Y. Lee, "Economic load dispatch-A comparative study on heuristic optimization techniques with an improved coordinated aggregation-based PSO," IEEE Trans. Power Syst., vol.24, no.2, pp. 991-1001, May 2009.
27. C.-L. Chiang, "Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels," IEEE Trans. Power Syst., vol.20, no.4, pp. 1690-1699, Nov. 2005.
28. R. Naresh, J. Dubey, and J. Sharma, "Two phase neural network based modeling framework of constrained economic load dispatch," Proc. Inst. Elect. Eng., Gen., Transm., Distrib., vol.151, no.3, pp. 373-378, May 2004.