The exchange market algorithm with smart searching for solving economic dispatch problems

References

• Abdullah, M. N., Abubakr, A. H., Abd Rahim, N., & Mokhlis, H. (2015). Modified particle swarm optimization for economic-emission load dispatch of power system operation. Turkish Journal of Electrical Engineering & Computer Sciences, 23, 2304–2318. doi:10.3906/elk-1307-204
   Web of Science ®Google Scholar
• Abdullah, M. N., Abubakar, A. H., Abd-rahim, N., Mokhlis, H., Illias, H. A., & Jamian, J. J. (2014). Modified particle swarm optimization with time varying acceleration coefficients for economic load dispatch with generator constraints. Journal of Electrical Engineering and Technology, 9, 15–26. doi:10.5370/JEET.2014.9.1.015
   Web of Science ®Google Scholar
• Abroa, A. G., & Mohamad-Saleh, G. (2013). Enhanced probability-selection artificial bee colony algorithm for economic load dispatch, A comprehensive analysis. Engineering Optimization, 46, 1315–1315. doi:10.1080/0305215X.2013.836639
   Web of Science ®Google Scholar
• Adarsh, B. R., Raghunathan, T., Jayabarathi, T., & Yang, X. (2016). Economic dispatch using chaotic bat algorithm. Energy, 96, 666–675. doi:10.1016/j.energy.2015.12.096
   Web of Science ®Google Scholar
• Arul, R., Ravi, G., & Velusami, S. (2013). An improved harmony search algorithm to solve economic load dispatch problems with generator constraints. Electronics Engineering, 96, 55–63. doi:10.1007/s00202-012-0276-0
   Web of Science ®Google Scholar
• Basu, M., & Chowdhury, A. (2013). Cuckoo search algorithm for economic dispatch. Energy, 60, 99–108. doi:10.1016/j.energy.2013.07.011
   Web of Science ®Google Scholar
• Bhattacharya, A., & Chattopadhyay, P. K. (2010). Hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch. IEEE Transactions on Power Systems, 25, 1955–1964. doi:10.1109/TPWRS.2010.2043270
   Web of Science ®Google Scholar
• Bhattachaya, A., & Kumar, P. (2010). Biogeography-based optimization for different economic load dispatch problems. IEEE Transactions on Power Systems, 25, 1064–1077. doi:10.1109/TPWRS.2009.2034525
   Web of Science ®Google Scholar
• Bijami, E., Jadidoleslam, M., Ebrahimi, A., Askari, J., & Farsangi, M. M. (2014). Implementation of imperialist competitive algorithm to solve non-convex economic dispatch problem. Journal of the Chinese Institute of Engineers, 37, 232–242. doi:10.1080/02533839.2012.757044
   Web of Science ®Google Scholar
• Chalermchaiarbha, S., & Ongsakul, W. (2013). Stochastic weight trade-off particle swarm optimization for nonconvex economic dispatch. Energy Conversion and Management, 70, 66–75. doi:10.1016/j.enconman.2013.02.009
   Web of Science ®Google Scholar
• Chaturvedi, K. T., & Pandit, M. (2008). self-organizing Hierarchical particles swarm optimization for nonconvex economic dispatch. IEEE Transactions on Power Systems, 23, 1087–1097. doi:10.1109/TPWRS.2008.926455
   Web of Science ®Google Scholar
• Chaturvedi, K. T., Pandit, M., & Srivastava, L. (2009). Particle swarm optimization with time varying acceleration coefficients for non-convex economic power dispatch. Electrical Power and Energy Systems, 31, 249–257, 2009. doi: 10.1016/j.ijepes.2009.01.010
   Web of Science ®Google Scholar
• Ciornei, I., & Kyriakides, E. (2012). A GA-API solution for the economic dispatch of generation in power system operation. IEEE Transactions on Power Systems, 27, 233–242. doi:10.1109/TPWRS.2011.2168833
   Web of Science ®Google Scholar
• Duvvuru, N., & Swarup, K. S. (2011). A hybrid interior point assisted differential evolution algorithm for economic dispatch. IEEE Transactions on Power Systems, 26, 541–549. doi:10.1109/TPWRS.2010.2053224
   Web of Science ®Google Scholar
• Fesanghary, M., & Ardehali, M. M. (2009). A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem. Energy, 34, 757–766. doi:10.1016/j.energy.2009.02.007
   Web of Science ®Google Scholar
• Gaing, Z. L. (2003). Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Transactions on Power Systems, 18, 1187–1195. doi:10.1109/TPWRS.2003.814889
   Web of Science ®Google Scholar
• Ghorbani, N., & Babaei, E. (2014). Exchange market algorithm. Applied Soft Computing, 19, 177–187. doi:10.1016/j.asoc.2014.02.006
   Web of Science ®Google Scholar
• Ghorbani, N., & Babaei, E. (2016). Exchange market algorithm for economic load dispatch. Electrical Power and Energy Systems, 75, 19–27. doi:10.1016/j.ijepes.2015.08.013
   Web of Science ®Google Scholar
• Ghorbani, N., Vakili, S., Babaei, E., & Sakhavati, A. (2014). Particle swarm optimization with smart inertia factor for solving nonconvex economic load dispatch problems. International Transactions on Electrical Energy Systems, 24, 1120–1133. doi:10.1002/etep.1766
   Web of Science ®Google Scholar
• Ghorbani, N., Vakili, S., & Sarkhosh, A. (2017). A new coding for solving large-scale non-convex economic dispatch problems without a penalty factor. International Journal of Management Science and Engineering Management, 12(4) 1–13. doi: 10.1080/17509653.2016.1249426
   Google Scholar
• Gong, W., Cai, Z., Ling, C. X., & Li, H. (2010). A real-coded biogeography-based optimization with mutation. Applied Mathematics and Computation, 216, 2749–2758. doi:10.1016/j.amc.2010.03.123
   Web of Science ®Google Scholar
• Hemamalini, S., & Simon, S. P. (2010). Artificial bee colony algorithm for economic load dispatch problem with non-smooth cost functions. Electric Power Components and Systems, 38, 786–803. doi:10.1080/15325000903489710
   Web of Science ®Google Scholar
• Hosseinnezhad, V., & Babaei, E. (2013). Economic load dispatch using Θ-PSO. Electrical Power and Energy Systems, 49, 160–169. doi:10.1016/j.ijepes.2013.01.002
   Web of Science ®Google Scholar
• Jadoun, V. K., Gupta, N., Niazi, K. R., & Swarnkar, A. (2014). Dynamically controlled particle swarm optimization for large-scale nonconvex economic dispatch problems. International Transactions on Electrical Energy Systems, 25, 3060–3074. doi:10.1002/etep.2022
   Web of Science ®Google Scholar
• Jubril, A. M., & Adediji, A. O. (2015). Semi-definite programming approach to stochastic combined heat and power environmental/economic dispatch problem. Electric Power Components and Systems, 43, 2039–2049, doi:10.1080/15325008.2015.1075082
   Web of Science ®Google Scholar
• Krishnasamy, U., & Nanjundappan, D. (2016). Hybrid weighted probabilistic neural network and biogeography based optimization for dynamic economic dispatch of integrated multiple-fuel and wind power plants”. Electrical Power and Energy Systems, 77, 385–394. doi:10.1016/j.ijepes.2015.11.022
   Web of Science ®Google Scholar
• Kar, S., Hug, G., Mohammadi, J., & Moura, J. M. F. (2014). Distributed state estimation and energy management in smart grids: A consensus+innovations approach. IEEE Journal of Selected Topics in Signal Processing, 8, 1022–1038. doi:10.1109/JSTSP.2014.2364545
   Web of Science ®Google Scholar
• Lee, K. Y., & El-Sharkawi, M. A. (2002). Modern heuristic optimization techniques with applications to power systems, IEEE Power Engineering Society (02TP160).
   Google Scholar
• Li, X., Wang, J., & Yin, M. (2013). Enhancing the performance of cuckoo search algorithm using orthogonal learning method. Neural Computing & Application, 22, 1–15.
   Google Scholar
• Mahdad, B., & Srairi, K. (2014). Interactive gravitational search algorithm and pattern search algorithms for practical dynamic economic dispatch. International Transactions on Electrical Energy Systems, 25, 2289–2309. doi:10.1002/etep.1961
   Web of Science ®Google Scholar
• Manoharan, P. S., Kannan, P. S., Baskar, S., & Iruthayarajan, M. V. (2008). Penalty parameter-less constraint handling scheme based evolutionary algorithm solutions to economic dispatch. IET Generation, Transmission & Distribution, 2, 478–490. doi:10.1049/iet-gtd:20070423
   Web of Science ®Google Scholar
• Meng, K., Wang, H. G., Dong, Z. Y., & Wong, K. P. (2010). Quantum-inspired particle swarm optimization for valve-point economic load dispatch. IEEE Transactions on Power Systems, 25, 215–222. doi:10.1109/TPWRS.2009.2030359
   Web of Science ®Google Scholar
• Modiri-Delshad, M., & Rahim, N. A. (2014). Solving non-convex economic dispatch problem via backtracking search algorithm. Energy, 77, 372–381. doi:10.1016/j.energy.2014.09.009
   Web of Science ®Google Scholar
• Moradi-Dalvand, M., Mohammadi-Ivatloo, B., Najafi, A., & Rabiee, A. (2012). Continuous quick group search optimizer for solving non-convex economic dispatch problems. Electric Power Systems Research, 93, 93–105. doi:10.1016/j.epsr.2012.07.009
   Web of Science ®Google Scholar
• Ozyon, S., & Aydin, D. (2013). Incremental artificial bee colony with local search to economic dispatch problem with ramp rate limits and prohibited operating zones. Energy Conversion and Management, 65, 397–407. doi:10.1016/j.enconman.2012.07.005
   Web of Science ®Google Scholar
• Park, J. B., Jeong, Y. W., Shin, J. R., & Lee, K. Y. (2010). An improved particle swarm optimization for nonconvex economic dispatch problems. IEEE Transactions on Power Systems, 25, 156–166. doi:10.1109/TPWRS.2010.2069890
   Web of Science ®Google Scholar
• Pothiya, S., Ngamroo, I. N., & Kongprawechnon, W. (2010). Ant colony optimization for economic dispatch problem with non-smooth cost function. International Journal of Electrical Power & Energy Systems, 32, 478–487. doi:10.1016/j.ijepes.2009.09.016
   Web of Science ®Google Scholar
• Rashedi, E., Nezamabadi-pour, H., & Saryazdi, S. (2009). GSA: A gravitational search algorithm. Information Sciences, 179, 2232–2248. doi:10.1016/j.ins.2009.03.004
   Web of Science ®Google Scholar
• Roy, S. (2012). Inclusion of short duration wind variations in economic load dispatch. IEEE Transactions on Sustainable Energy, 3, 265–273. doi:10.1109/TSTE.2011.2179954
   Web of Science ®Google Scholar
• Safari, A., & Shayeghi, H. (2011). Iteration particle swarm optimization procedure for economic load dispatch with generator constraints. Expert Systems with Applications, 38, 6043–6048. doi:10.1016/j.eswa.2010.11.015
   Web of Science ®Google Scholar
• Secui, D. C. (2015). A new modified artificial bee colony algorithm for the economic dispatch problem. Energy Conversion and Management, 89, 43–62. doi:10.1016/j.enconman.2014.09.034
   Web of Science ®Google Scholar
• Shaw, B., Mukherjee, V., & Ghoshal, S. P. (2011). Seeker optimisation algorithm: Application to the solution of economic load dispatch problems. IET Generation, Transmission & Distribution, 5, 81–91. doi:10.1049/iet-gtd.2010.0405
   Web of Science ®Google Scholar
• Sinha, N., Chakrabarti, R., & Chattopadhyay, P. K. (2003). Evolutionary programming techniques for economic load dispatch. IEEE Transactions on Evolutionary Computation, 7, 83–94. doi:10.1109/TEVC.2002.806788
   Web of Science ®Google Scholar
• Srinivasa-Reddy, A., & Vaisakh, K. (2013). Shuffled differential evolution for economic dispatch with valve point loading effects. International Journal of Electrical Power & Energy Systems, 46, 342–352. doi:10.1016/j.ijepes.2012.10.012
   Web of Science ®Google Scholar
• Su, C. T., & Lin, C. T. (2000). New approach with a Hopfield modeling framework to economic dispatch. IEEE Transactions on Power Systems, 15, 541–545, 2000. doi: 10.1109/59.867138
   Web of Science ®Google Scholar
• Sydulu, M. (1999). A very fast and effective non-iterative Lamda Logic Based algorithm for economic dispatch of thermal units. Proceedings of the IEEE Region 10 Conference, 2, 1434–1437. doi: 10.1109/TENCON.1999.818701
   Google Scholar
• Vlachogiannis, G., & Lee, K. Y. (2010). Closure to discussion on economic load dispatch-A comparative study on heuristic optimization techniques with an improved coordinated aggregation-based PSO. IEEE Transactions on Power Systems, 25, 591–592. doi:10.1109/TPWRS.2009.2037534
   Web of Science ®Google Scholar
• Wang, L., & Li, L. (2013). An effective differential harmony search algorithm for the solving non-convex economic load dispatch problems. International Journal of Electrical Power & Energy Systems, 44, 832–843. doi:10.1016/j.ijepes.2012.08.021
   Web of Science ®Google Scholar
• Yang, X. S., Hosseinib, S. S., & Gandomic, A. H. (2012). Firefly algorithm for solving nonconvex economic dispatch problems with valve loading effect. Applied Soft Computing, 12, 1180–1186. doi: 10.1016/j.asoc.2011.09.017
   Web of Science ®Google Scholar