Economic Dispatch Solution Using Hybrid Salp Swarm Algorithm and Simulated Annealing Approach
X. Xia, A. M. Elaiw, “Optimal dynamic economic dispatch of generation: A review”,Electric Power Systems Research, vol. 80 no.8, pp. 975-986 , 2010.
C. C. Kuo, “A novel string structure for economic dispatch problems with practical constraints”,Energy Conversion and Management, vol. 49, no.12, pp. 3571-3577, 2008.
K. Murali, T. Jayabarath,“Solution to economic dispatch problem with valve-point loading effect by using catfish PSO algorithm”, Frontiers in Energy/vol. 8, no. 3, pp. 290–296, 2014.
A. Farag, S. Al-Baiyat, T. C.Cheng, “Economic load dispatch multiobjective optimization procedures using linear programming techniques”,IEEE Transactions on Power Systems,vol. 10, no.2, pp. 731 – 738, May 1995.
A. J. Wood and B. F. Wollenberg, “Power Generation Operation and Control”, Second Edition,John wiley & sons, inc.Publication1996.
J. Y. Fan, L. Zhang, “Real-time economic dispatch with line flow and emission constraints using quadratic programming”, IEEE Transactions on Power Systems, vol. 13,no.2,pp. 320–325, May 1998.
C .Yasar, S. Ozyon, “Solution to scalarized environmental economic power dispatch problem by using genetic algorithm”, Int. J Electr. Power Energy Syst., vol. 38, no.1, pp.54–62, 2012.
Z. L. Gaing, “Particle Swarm Optimization to Solving the Economic Dispatch Considering the Generator Constraints”, IEEE Transactions on Power Systems, vol. 18, no.3, pp. 1187-1195, August 2003.
K. P. Wong, C. C. Fung, “Simulated annealing based economic dispatch algorithm”,IEE Proceedings C - Generation, Transmission and Distribution, vol. 140, no.6, Nov. 1993.
N. Noman, H. Lba, “Differential evolution for economic load dispatch problems”, Electric power systems research, vol. 78,no.8, pp. 1322- 1331, August 2008.
S. Hemamalini, S. P. Simon, “Artificial Bee Colony Algorithm for Economic Load Dispatch Problem with Non-smooth Cost Functions”, Electric Power Components and Systems, vol. 38, no.7, pp. 786-803, 2010.
V. K. Kambo, S. K. Bath, J. S. Dhillon, “Solution of non-convex economic load dispatch problem using Grey Wolf Optimizer”, Neural computing and Applications, vol. 27,no.5, pp. 1301-1316, 2016.
D. H. Wolpert, W. G. Macready, “No free lunch theorems for optimization”, IEEE Trans. Evol. Comput., vol. 1, no.1, pp. 67–82, 1997.
S. Mirjalili, A. H. Gandomi,S. Z. Mirjalili, S. Saremi, H. Faris, S. M. Mirjalili, “Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems”, Advances in Engineering Software, vol. 114, pp. 163-191,2017.
Y. V. Krishna Reddy, M. Damodar Reddy, “Solving Economic Load Dispatch problem with Multiple Fuels using Teaching Learning based Optimization and Salp Swarm Algorithm”, Journal of Intelligent Systems: Theory and Applications, vol. 1, pp. 5-15, 2018.
S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi, “Optimization by simulated annealing”, Journal of Science, Vol. 220,no. 4598, pp. 671–680, May 1983.
S. R. Rayapudi, “An Intelligent Water Drop Algorithm for Solving Economic Load Dispatch Problem”, Int. J. of Electric and Electronics Engineering, vol. 5, no.10, 2011.
Y. Labbi, D. B. Attous, “A Hybrid Big Bang–Big Crunch optimization algorithm for solving the different economic load dispatch problems“, International Journal of System Assurance Engineering and Management, vol. 8, pp. 275-286, 2017.
S. Ozyon, D. Aydin, “Incremental artificial bee colony with local search to economic dispatch problem with ramp rate limits and prohibited operating zones”, Energy conversion and management, vol. 65, pp. 397-407, 2013.
S. Sayah, A. Hamouda, “A hybrid differential evolution algorithm based on particle swarm optimization for non-convex economic dispatch problem”, Applied Soft Computing journal, vol. 13, no.4, pp.1608-1619, 2013.
B. Mandal, P. K. Roy, S. Mandal, “Economic load dispatch using krill herd algorithm”, Electric. Power and Enery Syst., vol. 57, pp.1-10, 2014.
T. Niknam, H. D. Mojarrad, H. Z. Meymand, “Non-smooth economic dispatch computation by fuzzy and self adaptive particle swarm optimization”, Applied Soft Computing journal, vol. 11,no.2,pp. 2805- 2817,2011.
A. Safari, H. Shayeghi, “Iteration particle swarm optimization procedure for economic load dispatch with generator constraints”, Expert Syst. Appl., vol. 38,no.3, pp. 6043-6084, 2011.
S. Khamsawang, S. Jiriwibhakorn, “DSPSO-TSA for economic dispatch problem with non smooth and non continuous cost functions”, Energy Convers. Manag., vol. 51,no.2,pp.365-375, 2010.
B. K. Panigrahi, V. R. Pandi, S. Das, “Adaptive particle swarm optimization approach for static and dynamic economic load dispatch”, Energy Conversion Manage., vol. 49, no. 6 pp. 1407–1415, 2008.
G. Binetti, A. Davoudi, D. Naso, B. Turchiano, F.Lewis,“A distributed auction based algorithm for the non-convex economic dispatch problem”, IEEE Transactions on Power Systems, vol. 10, no.2,pp. 124– 1132,May 2014.
A. I. Selvakumar, K. Thanushkodi, “A New Particle Swarm Optimization Solution to Non-convex Economic Dispatch Problems”, IEEE Transactions on Power Systems, vol. 22,no.1,pp. 42-51, February 2007.
L. D. S. Coelho and V. C. Mariani, “Combining of Chaotic Differential Evolution and Quadratic Programming for Economic Dispatch Optimization With Valve-Point Effect”, IEEE Transactions on Power Systems, vol. 21,no.2,pp. 989-996,May 2006.
This work is licensed under a Creative Commons Attribution 3.0 License.