An improved invasive weed optimization algorithm for solving dynamic economic dispatch problems with valve-point effects

References

• Abdelaziz, A. Y., Kamh, M. Z., Mekhamer, S. F., Badr, M. A. L. (2008). A hybrid HNN-QP approach for dynamic economic dispatch problem. Electric Power Systems Research, 78(10), 1784–1788.
   Web of Science ®Google Scholar
• Alsumait, J. S., Qasem, M., Sykulski, J. K., & Al-Othman, A. K. (2010). An improved pattern search based algorithm to solve the dynamic economic dispatch problem with valve-point effect. Energy Conversion and Management, 51(10), 2062–2067.
   Web of Science ®Google Scholar
• Alsumait, J. S., Sykulski, J. K., & Al-Othman, A. K. (2010). A hybrid GA-PS-SQP method to solve power system valve-point economic dispatch problems. Applied Energy, 87(5), 1773–1781.
   Web of Science ®Google Scholar
• Arul, R., Ravi, G., & Velusami, S. (2013). Chaotic self-adaptive differential harmony search algorithm based dynamic economic dispatch. International Journal of Electrical Power and Energy Systems, 50(1), 85–96.
   Google Scholar
• Balamurugan, R., & Subramanian, S. (2007). An improved differential evolution based dynamic economic dispatch with nonsmooth fuel cost function. Journal of Electrical Systems, 3, 151–161.
   Google Scholar
• Basu, M. (2009). Hybridization of artificial immune systems and sequential quadratic programming for dynamic economic dispatch. Electric Power Components and Systems, 37(9), 1036–1045.
   Web of Science ®Google Scholar
• Basu, M. (2011). Artificial immune system for dynamic economic dispatch. International Journal of Electrical Power and Energy Systems, 33(1), 131–136.
   Web of Science ®Google Scholar
• Basu, M. (2013). Hybridization of bee colony optimization and sequential quadratic programming for dynamic economic dispatch. International Journal of Electrical Power and Energy Systems, 44(1), 591–596.
   Web of Science ®Google Scholar
• Bechert, T. E., & Chen, N. C. N. (1977). Area automatic generation control by multi-pass dynamic programming. IEEE Transactions on Power Apparatus and Systems, 96(5), 1460–1469.
   Web of Science ®Google Scholar
• Chakraborty, P., Roy, G. G., Panigrahi, B. K., Bansal, R. C., & Mohapatra, A. (2012). Dynamic economic dispatch using harmony search algorithm with modified differential mutation operator. Electrical Engineering, 94(4), 197–205.
   Web of Science ®Google Scholar
• Chowdhury, A., Zafar, H., Panigrahi, B. K., Krishnanand, K. R., Mohapatra, A., & Cui, Z. (2014). Dynamic economic dispatch using Lbest-PSO with dynamically varying sub-swarms. Memetic Computing, 6(2), 85–95.
   Web of Science ®Google Scholar
• Duan, P.-Y., Li, J.-Q., Wang, Y., Sang, H.-Y., & Jia, B. (2017). Solving chiller loading optimization problems using an improved teaching‐learning‐based optimization algorithm. Optimal Control Applications & Methods, 4. doi:10.1002/oca.2334
   Google Scholar
• Elattar, E. E. (2015). A hybrid genetic algorithm and bacterial foraging approach for dynamic economic dispatch problem. International Journal of Electrical Power and Energy Systems, 69, 18–26.
   Web of Science ®Google Scholar
• Granelli, G. P., Marannino, P., Montagna, M., & Silvestri, A. (1989). Fast and efficient gradient projection algorithm for dynamic generation dispatching. IEE Proceedings C Generation, Transmission and Distribution, 136(5), 295.
   Web of Science ®Google Scholar
• He, D., Dong, G., Wang, F., & Mao, Z. (2011). Optimization of dynamic economic dispatch with valve-point effect using chaotic sequence based differential evolution algorithms. Energy Conversion and Management, 52(2), 1026–1032.
   Web of Science ®Google Scholar
• Hemamalini, S., & Simon, S. P. (2010). Dynamic economic dispatch using Maclaurin series based Lagrangian method. Energy Conversion and Management, 51(11), 2212–2219.
   Web of Science ®Google Scholar
• Hemamalini, S., & Simon, S. P. (2011a). Dynamic economic dispatch using artificial immune system for units with valve-point effect. International Journal of Electrical Power and Energy Systems, 33(4), 868–874.
   Web of Science ®Google Scholar
• Hemamalini, S., & Simon, S. P. (2011b). Dynamic economic dispatch using artificial bee colony algorithm for units with valve-point effect. International Transactions on Electrical Energy Systems, 21(1), 70–81.
   Google Scholar
• Hindi, K. S., & Ab Ghani, M. R. (1991). Dynamic economic dispatch for large scale power systems: A Lagrangian relaxation approach. International Journal of Electrical Power and Energy Systems, 13(1), 51–56.
   Web of Science ®Google Scholar
• Li, J. Q., Bai, S. C., Duan, P. Y., Sang, H. Y., Han, Y. Y., & Zheng, Z. (2019). An improved artificial bee colony algorithm for addressing distributed flow shop with distance coefficient in a prefabricated system. International Journal of Production Research. doi:10.1080/00207543.2019.1571687
   PubMed Web of Science ®Google Scholar
• Li, J. Q., Song M. X., Wang, L., Duan, P. Y., Han, Y. Y., Sang, H. Y., &Pan, Q. K. (2019).Hybrid artificial bee colony algorithm for a parallel batching distributed flow shop problem with deteriorating jobs. IEEE Transactions on Cybernetics. doi: 10.1109/TCYB.2019.2943606.
   Google Scholar
• Li, J.-Q., Pan, Q.-K., & Gao, K.-Z. (2011). Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems. The International Journal of Advanced Manufacturing Technology, 55(9–12), 1159–1169.
   Web of Science ®Google Scholar
• Li, J. Q., Pan, Q. K., & Tasgetiren, M. F. (2014). A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities. Applied Mathematical Modelling, 38(3), 1111–1132.
   Web of Science ®Google Scholar
• Li, J., Pan, Q., Duan, P., Sang, H., & Gao, K. (2017). Solving multi-area environmental/economic dispatch by Pareto-based chemical-reaction optimization algorithm. IEEE/CAA Journal of Automatica Sinica, (February 2018), 1–11. doi:10.1109/JAS.2017.7510454
   Google Scholar
• Li, J., Pan, Q., & Xie, S. (2012). An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems. Applied Mathematics and Computation, 218(18), 9353–9371.
   Web of Science ®Google Scholar
• Li, J. Q., Sang, H. Y., Han, Y. Y., Wang, C. G., & Gao, K. Z. (2018). Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions. Journal of Cleaner Production, 181, 584–598.
   Web of Science ®Google Scholar
• Lin, W. M., & Chen, S. J. (2002). Bid-based dynamic economic dispatch with an efficient interior point algorithm. International Journal of Electrical Power & Energy Systems, 24(1), 51–57. Retrieved from isi:000172567800006
   Web of Science ®Google Scholar
• Lu, P., Zhou, J., Zhang, H., Zhang, R., & Wang, C. (2014). Chaotic differential bee colony optimization algorithm for dynamic economic dispatch problem with valve-point effects. International Journal of Electrical Power and Energy Systems, 62, 130–143.
   Web of Science ®Google Scholar
• Lu, Y., Zhou, J., Qin, H., Li, Y., & Zhang, Y. (2010). An adaptive hybrid differential evolution algorithm for dynamic economic dispatch with valve-point effects. Expert Systems with Applications, 37(7), 4842–4849.
   Web of Science ®Google Scholar
• Lu, Y., Zhoun, J., Qin, H., Wang, Y., & Zhang, Y. (2011). Chaotic differential evolution methods for dynamic economic dispatch with valve-point effects. Engineering Applications of Artificial Intelligence, 24(2), 378–387.
   Web of Science ®Google Scholar
• Mehrabian, A. R., & Lucas, C. (2006). A novel numerical optimization algorithm inspired from weed colonization. Ecological Informatics, 1(4), 355–366.
   Web of Science ®Google Scholar
• Meng, A., Hu, H., Yin, H., Peng, X., & Guo, Z. (2015). Crisscross optimization algorithm for large-scale dynamic economic dispatch problem with valve-point effects. Energy, 93, 2175–2190.
   Web of Science ®Google Scholar
• Mohammadi-Ivatloo, B., Rabiee, A., & Ehsan, M. (2012). Time-varying acceleration coefficients IPSO for solving dynamic economic dispatch with non-smooth cost function. Energy Conversion and Management, 56, 175–183.
   Web of Science ®Google Scholar
• Mohammadi-Ivatloo, B., Rabiee, A., & Soroudi, A. (2013). Nonconvex dynamic economic power dispatch problems solution using hybrid immune-genetic algorithm. IEEE Systems Journal, 7(4), 777–785.
   Web of Science ®Google Scholar
• Mohammadi-Ivatloo, B., Rabiee, A., Soroudi, A., & Ehsan, M. (2012). Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch. Energy, 44(1), 228–240.
   Web of Science ®Google Scholar
• Nguyen, T. T., & Vo, D. N. (2015). The application of one rank cuckoo search algorithm for solving economic load dispatch problems. Applied Soft Computing Journal, 37, 763–773.
   Web of Science ®Google Scholar
• Niknam, T., & Golestaneh, F. (2012). Enhanced adaptive particle swarm optimisation algorithm for dynamic economic dispatch of units considering valve-point effects and ramp rates. IET Generation, Transmission & Distribution, 6(5), 424–435.
   Web of Science ®Google Scholar
• Pan, S., Jian, J., & Yang, L. (2018). A hybrid MILP and IPM approach for dynamic economic dispatch with valve-point effects. International Journal of Electrical Power and Energy Systems, 97(September 2017), 290–298.
   Google Scholar
• Panigrahi, B. K., Ravikumar Pandi, V., & Das, S. (2008). Adaptive particle swarm optimization approach for static and dynamic economic load dispatch. Energy Conversion and Management, 49(6), 1407–1415.
   Web of Science ®Google Scholar
• Panigrahi, C. K., Chattopadhyay, P. K., Chakrabarti, R. N., Basu, M., et al. (2006). Simulated annealing technique for dynamic economic dispatch. Electric Machines & Power Systems, 34(5), 577–586.
   Web of Science ®Google Scholar
• Pattanaik, J. K., Basu, M., & Dash, D. P. (2018). Improved real coded genetic algorithm for dynamic economic dispatch. Journal of Electrical Systems and Information Technology, (2017), 1–14. doi:10.1016/j.jesit.2018.03.002
   Google Scholar
• Pothiya, S., Ngamroo, I., & Kongprawechnon, W. (2008). Application of multiple tabu search algorithm to solve dynamic economic dispatch considering generator constraints. Energy Conversion and Management, 49(4), 506–516.
   Web of Science ®Google Scholar
• Ross, D. W., & Kim, S. (1980). Dynamic economic dispatch of generation. IEEE Transactions on Power Apparatus and Systems, 99(6), 2060–2068.
   Web of Science ®Google Scholar
• Sang, H. Y., Duan, P. Y., & Li, J. Q. (2018). An effective invasive weed optimization algorithm for scheduling semiconductor final testing problem. Swarm and Evolutionary Computation, 38(May 2017), 42–53.
   Google Scholar
• Sang, H. Y., Pan, Q. K., Duan, P. Y., & Li, J. Q. (2018). An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems. Journal of Intelligent Manufacturing, 29(6), 1337–1349.
   Web of Science ®Google Scholar
• Singh, M., & Dhillon, J. S. (2016). A simple opposition-based greedy heuristic search for dynamic economic thermal power dispatch. Electric Power Components and Systems, 44(6), 589–605.
   Web of Science ®Google Scholar
• Somuah, C. B., & Khunaizi, N. (1990). Application of linear programming redispatch technique to dynamic generation allocation. IEEE Transactions on Power Systems, 5(1), 20–26.
   Web of Science ®Google Scholar
• Srinivas, S. T. P., & Shanti Swarup, K. (2019). Application of improved invasive weed optimization technique for optimally setting directional overcurrent relays in power systems. Applied Soft Computing Journal, 79, 1–13.
   Web of Science ®Google Scholar
• Travers, D. L., & John Kaye, R. (1998). Dynamic dispatch by constructive dynamic programming. IEEE Transactions on Power Systems, 13(1), 72–78.
   Web of Science ®Google Scholar
• Victoire, T. A. A., & Jeyakumar, A. E. (2005a). A modified hybrid EP-SQP approach for dynamic dispatch with valve-point effect. International Journal of Electrical Power and Energy Systems, 27(8), 594–601.
   Web of Science ®Google Scholar
• Victoire, T. A. A., & Jeyakumar, A. E. (2005b). Deterministically guided PSO for dynamic dispatch considering valve-point effect. Electric Power Systems Research, 73(3), 313–322.
   Web of Science ®Google Scholar
• Victoire, T. A. A., & Jeyakumar, A. E. (2005c). Reserve constrained dynamic dispatch of units with valve-point effects. IEEE Transactions on Power Systems, 20(3), 1273–1282.
   Web of Science ®Google Scholar
• Wang, Y., Zhou, J., Lu, Y., Qin, H., & Wang, Y. (2011). Chaotic self-adaptive particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects. Expert Systems with Applications, 38(11), 14231–14237.
   Web of Science ®Google Scholar
• Wang, Y., Zhou, J., Qin, H., & Lu, Y. (2010). Improved chaotic particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects. Energy Conversion and Management, 51(12), 2893–2900.
   Web of Science ®Google Scholar
• Yuan, X., Su, A., Yuan, Y., Nie, H., & Wang, L. (2009). An improved PSO for dynamic load dispatch of generators with valve-point effects. Energy, 34(1), 67–74.
   Web of Science ®Google Scholar
• Yuan, X., Wang, L., Yuan, Y., Zhang, Y., Cao, B., & Yang, B. (2008). A modified differential evolution approach for dynamic economic dispatch with valve-point effects. Energy Conversion and Management, 49(12), 3447–3453.
   Web of Science ®Google Scholar
• Yuan, X., Wang, L., Zhang, Y., & Yuan, Y. (2009). A hybrid differential evolution method for dynamic economic dispatch with valve-point effects. Expert Systems with Applications, 36(2 PART 2), 4042–4048.
   Web of Science ®Google Scholar
• Zaman, F., Elsayed, S. M., Ray, T., & Sarker, R. A. (2016). Configuring two-algorithm-based evolutionary approach for solving dynamic economic dispatch problems. Engineering Applications of Artificial Intelligence, 53, 105–125.
   Web of Science ®Google Scholar
• Zhang, Y., Gong, D. W., Geng, N., & Sun, X. Y. (2014). Hybrid bare-bones PSO for dynamic economic dispatch with valve-point effects. Applied Soft Computing Journal, 18, 248–260.
   Web of Science ®Google Scholar
• Zheng, Z., & Li, J. (2017). Optimal chiller loading by improved invasive weed optimization algorithm for reducing energy consumption. Energy and Buildings. doi:10.1016/j.enbuild.2017.12.020
   PubMed Web of Science ®Google Scholar
• Zheng, Z.-X., Li, J.-Q., & Duan, P.-Y. (2018). Optimal chiller loading by improved artificial fish swarm algorithm for energy saving. Mathematics and Computers in Simulation. doi:10.1016/j.matcom.2018.04.013
   PubMed Web of Science ®Google Scholar
• Zou, D., Li, S., Kong, X., Ouyang, H., & Li, Z. (2018). Solving the dynamic economic dispatch by a memory-based global differential evolution and a repair technique of constraint handling. Energy, 147, 59–80.
   Web of Science ®Google Scholar
• Zou, D., Li, S., Wang, G. G., Li, Z., & Ouyang, H. (2016). An improved differential evolution algorithm for the economic load dispatch problems with or without valve-point effects. Applied Energy, 181, 375–390.
   Web of Science ®Google Scholar