ECONOMIC DISPATCH BY USING DIFFERENT CROSSOVER OPERATORS OF GENETIC ALGORITHM

Yıl 2010, Cilt: 10 Sayı: 1, 1173 - 1183, 20.01.2012

Serhat Duman Ali Öztürk M. Kenan Döşoğlu Salih Tosun

https://izlik.org/JA86KA56ZC

Öz

ECONOMIC DISPATCH BY USING DIFFERENT CROSSOVER OPERATORS OF GENETIC ALGORITHM

Anahtar Kelimeler

Economic Dispatch , Genetic Algorithm , Crossover Operators , Power Systems

Kaynakça

• Alder, R., B., “Security consideration economic dispatch with participation factors,” IEEE Transactions on Power Applied Systems, 1977.
• Bui, R., T. and Ghaderpanah, S., “Real power assessment,” IEEE Transactions on Power Applied Systems, vol. PAS-101, no. 8, pp. 2915, 1982. and security
• Al-Sumait, J. S., Al-Othman, A. K. and Sykulski, J. K., “Application of pattern search method to power system valve- point economic load dispatch,” Electrical Power and Energy Systems, vol. 29, pp. 730, 2007.
• Yalcinoz, T. and Short, M. J., “Neural networks approach for solving economic dispatch capacity constraints,” IEEE Transactions on Power Systems, vol. 13, no. 2, pp. 307- , 1998. with transmission
• Yalcinoz, T., and Short, M., J., “Large- scale improved Hopfield neural network,” IEE Proceedings-Generation, Distribution, vol. 144, no. 2, pp. 181-185, using an Transmission, 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- , 1993.
• Yalcinoz, T., Altun, H. and Hasan, U.,“Constrained economic dispatch with prohibited operating zones: a Hopfield neural Mediterrenean Conference, vol. 2, pp. 570-573, 2000.
• 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.
• 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.
• Gaing, Z. L.,“Particle swarm optimization to considering the generator constraints,” IEEE Transactions on Power Systems, vol. , no. 3, pp. 1187-1195, 2003. dispatch
• 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.
• Chaturvedi, K. T., Pandit, M. and Srivastava, optimization with crazy particles for nonconvex economic dispatch,” Applied Soft Computing, vol. 9, pp. 962-969, 2009.
• Turkay, B., “Economic dispatch at the ambarli algorithm,” Istanbul University-Journal of Electrical & Electronics Engineering, vol. , no. 1, pp. 395-399, 2002. genetic
• Bakirtzis, A., Petridis, V. and Kazarlis, S., “Genetic economic Proceedings-Generation, Distribution, vol. 141, no. 4, pp. 377-382, solution problem,” IEE Transmission, Singh, C., “Atavistic genetic algorithm for economic dispatch with valve point effect,” Electric Power Systems Research, vol. 62, pp. 201-207, 2002.
• Mantawy, A., H., Abdel-Magid, Y. L. and Selim, algorithms, tabu search and simulated annealing for the unit commitment problem,” IEEE Transactions on Power Systems, vol. 14, no. 3, pp. 829-836, 2003.
• 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.
• 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- , 2008.
• Chen, Y.,M., and Wang, W.,S.,“Economic with dispatch considerations using marginal rate of substitution decision approach,” Journal of Quality, vol. 16, no. 2, pp. 109-118, 2009.
• 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.
• Khamsawang, S., and Jiriwibhakorn, S.,“Solving problem by using differential evolution,” International Journal of Electrical Power and Energy Systems Engineering, vol. 2, pp. 121-125, 2009. dispatch
• Younes, M., Rahli, M. and Koridak, L., A.,“Economic Power Dispatch Using Evolutionary Algorithm,” Journal of Electrical Engineering, vol. 57, no. 4, pp. 217, 2006.
• Kurban, M. and Basaran, U., “Economic dispatch analysis for 14 bus 380-kV power system in Turkey”, Electric-Electronic, Computer Congress and Fair, Istanbul, 2005. National
• Ah King, R., T., F. and Rughooputh, H., C., S., “Elitist multiobjective evolutionary algorithm dispatch,” Evolutionary Computation, vol. 2, pp. 1114, 2003. on
• Mazumder, P. and Runick, E.,M.,“Genetic Algorithm For VLSI Design Layout Test Otomation,” Prentice Hall PTR, 1999.
• Goldberg, E., D., “Genetic Algorithms in Search Learning,” Addison –Wesley Longman, and Machine 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.
• Saruhan, H.,“Optimum design of rotor- bearing system stability performance comparing an evolutionary algorithm versus a conventional method,” A.,“Investigation Ozturk, of voltage stability in power systems using genetic algorithm,” University, 2007. Thesis, Sakarya
• 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.
• Saruhan, H., “Genetic Algorithms: An Optimization Technique”, Technology, vol. 7, pp. 105-114, 2004. S. Duman was born in Bandırma, Turkey, in 1981.