ECONOMIC DISPATCH BY USING DIFFERENT CROSSOVER OPERATORS OF GENETIC ALGORITHM

1. Alder, R., B., “Security consideration
economic dispatch with participation
factors,” IEEE Transactions on Power
Applied Systems, 1977.
2. Bui, R., T. and Ghaderpanah, S., “Real
power rescheduling and security
assessment,” IEEE Transactions on Power
Applied Systems, vol. PAS-101, no. 8, pp.
2906-2915, 1982.
3. Al-Sumait, J. S., Al-Othman, A. K. and
Sykulski, J. K., “Application of pattern
search method to power system valvepoint
economic load dispatch,” Electrical
Power and Energy Systems, vol. 29, pp.
720-730, 2007.
4. Yalcinoz, T. and Short, M. J., “Neural
networks approach for solving economic
dispatch problem with transmission
capacity constraints,” IEEE Transactions
on Power Systems, vol. 13, no. 2, pp. 307-
313, 1998.
5. Yalcinoz, T., and Short, M., J., “Largescale
economic dispatch using an
improved Hopfield neural network,” IEE
Proceedings-Generation, Transmission,
Distribution, vol. 144, no. 2, pp. 181-185,
1997.
6. Park, J. H., Kim, Y., S., Eom, I., K., and
Lee, K., Y., “Economic load dispatch for
piecewise quadratic cost function using
neural network,” IEEE Transactions on
Power Systems, vol. 8, no. 3, pp. 1030-
1038, 1993.
7. Yalcinoz, T., Altun, H. and Hasan,
U.,“Constrained economic dispatch with
prohibited operating zones: a Hopfield
neural network approach,” 10 th
Mediterrenean Electrotechnical
Conference, vol. 2, pp. 570-573, 2000.
8. Lee, K., Y., Sode-Yome, A. and Park,
J.,H., “Adaptive Hopfield neural networks
for economic load dispatch,” IEEE
Transactions on Power Systems, vol. 13,
no. 2, pp. 519-526, 1998.
9. Lin, W.,M., Cheng, F., S., and Tsay,
M.,T., “Nonconvex economic dispatch by
integrated artificial intelligence,” IEEE
Transactions on Power Systems, vol. 16,
no. 2, pp. 307-311, 2001.
10. Gaing, Z. L.,“Particle swarm optimization
to solving the economic dispatch
considering the generator constraints,”
IEEE Transactions on Power Systems, vol.
18, no. 3, pp. 1187-1195, 2003.
11. 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 Transactions on Power
Systems, vol. 20, no. 1, pp. 34-42, 2005.
12. Chaturvedi, K. T., Pandit, M. and
Srivastava, L., “Particle swarm
optimization with crazy particles for
nonconvex economic dispatch,” Applied
Soft Computing, vol. 9, pp. 962-969, 2009.
13. Turkay, B., “Economic dispatch at the
ambarli power plant using genetic
algorithm,” Istanbul University-Journal of
Electrical & Electronics Engineering, vol.
2, no. 1, pp. 395-399, 2002.
14. Bakirtzis, A., Petridis, V. and Kazarlis, S.,
“Genetic algorithm solution to the
economic dispatch problem,” IEE
Proceedings-Generation, Transmission,
Distribution, vol. 141, no. 4, pp. 377-382,
1994.
15. Kim, J. O., Shin, D. J., Park, J. N. and
Singh, C., “Atavistic genetic algorithm for
economic dispatch with valve point
effect,” Electric Power Systems Research,
vol. 62, pp. 201-207, 2002.
16. Mantawy, A., H., Abdel-Magid, Y. L. and
Selim, S. Z.,“Integrating genetic
algorithms, tabu search and simulated
annealing for the unit commitment
problem,” IEEE Transactions on Power
Systems, vol. 14, no. 3, pp. 829-836, 2003.
17. Yalcinoz, T., Altun, H. and Uzam, M.,
“Economic Dispatch Solution using a
genetic algorithm based on arithmetic
crossover,” IEEE Porto Power Tech.
Conference, vol. 2, pp. 4, 2001.
18. Da-kuo, H., Fu-li, W. and Zhi-zhong, M.,
“Hybrid genetic algorithm for economic
dispatch with valve-point effect,” Electric
Power Systems Research, vol. 78, pp. 626-
633, 2008.
19. Chen, Y.,M., and Wang, W.,S.,“Economic
dispatch with environmental
considerations using marginal rate of
substitution decision approach,” Journal of
Quality, vol. 16, no. 2, pp. 109-118, 2009.
20. Song, Y. H., and Xuan, Q., Y., “Combined
heat and power economic dispatch using
genetic algorithm based penalty function
method,” Electric Power Components and
Systems, vol. 26, no. 4, pp. 363-372, 1998.
21. Khamsawang, S., and Jiriwibhakorn,
S.,“Solving the economic dispatch
problem by using differential evolution,”
International Journal of Electrical Power
and Energy Systems Engineering, vol. 2,
pp. 121-125, 2009.
22. Younes, M., Rahli, M. and Koridak, L.,
A.,“Economic Power Dispatch Using
Evolutionary Algorithm,” Journal of
Electrical Engineering, vol. 57, no. 4, pp.
211-217, 2006.
23. Kurban, M. and Basaran, U., “Economic
dispatch analysis for 14 bus 380-kV power
system in Turkey”, Electric-Electronic,
Computer Engineering 11. National
Congress and Fair, Istanbul, 2005.
24. Ah King, R., T., F. and Rughooputh, H.,
C., S., “Elitist multiobjective evolutionary
algorithm for environmental/economic
dispatch,” The 2003 Congress on
Evolutionary Computation, vol. 2, pp.
1108-1114, 2003.
25. Mazumder, P. and Runick, E.,M.,“Genetic
Algorithm For VLSI Design Layout Test
Otomation,” Prentice Hall PTR, 1999.
26. Goldberg, E., D., “Genetic Algorithms in
Search Optimization and Machine
Learning,” Addison –Wesley Longman,
1989.
27. Ozturk, A. and Duman, S.,“Determination
of the conditions of optimal operation in
power systems using genetic algorithm,”
Journal of the Faculty of Engineering and
Architecture of Gazi University, vol. 24,
no. 3, pp. 539-548, 2009.
28. Saruhan, H.,“Optimum design of rotorbearing
system stability performance
comparing an evolutionary algorithm
versus a conventional method,”International Journal of Mechanical
Sciences, vol. 48, pp. 1341-1351, 2006.
29. Ozturk, A.,“Investigation of voltage
stability in power systems using genetic
algorithm,” Phd. Thesis, Sakarya
University, 2007.
30. Cheng, R., Gen, M. and Tsujimura, Y.,“A
Tutorial Survey of Job Shop Scheduling
Problems Using Genetic Algorithms: Part
II. Hybrid Genetic Search Strategies,”
Computers and Industrial Engineering,
vol. 37, pp. 51-55, 1999.
31. Saruhan, H., “Genetic Algorithms: An
Optimization Technique”, Technology,
vol. 7, pp. 105-114, 2004.