Abstract
A new multi-algorithm approach for the daily optimization of thermal power plants and the Economic Dispatch was tested. For this, the dispatches were clustered in different groups based on their duration and the total power output requested. Genetic Algorithm, Differential Evolution and Simulated Annealing were selected for implementation and were employed according to the distinct characteristics of each dispatch. A monthly improvement of up to 2,45\(\,\times \,\)105 R$ in the gross profit of the thermal power plant with the use of the optimization tool was estimated.
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References
Al-Amyal, F., Al-attabi, K.J., Al-khayyat, A.: Multistage ant colony algorithm for economic emission dispatch problem. In: 2019 International IEEE Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE), pp. 161–166 (2019). https://doi.org/10.1109/CANDO-EPE47959.2019.9111048
Basu, M.: A simulated annealing-based goal-attainment method for economic emission load dispatch of fixed head hydrothermal power systems. Int. J. Electr. Power Energy Syst. 27, 147–153 (2005). https://doi.org/10.1016/j.ijepes.2004.09.004
Basu, M.: Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II. Int. J. Electric. Power Energy Syst. 30, 140–149 (2008). https://doi.org/10.1016/j.ijepes.2007.06.009
Damousis, I., Bakirtzis, A., Dokopoulos, P.: Network-constrained economic dispatch using real-coded genetic algorithm. IEEE Trans. Power Syst. 18(1), 198–205 (2003). https://doi.org/10.1109/TPWRS.2002.807115
Fonseca, M., Bezerra, U.H., Brito, J.D.A., Leite, J.C., Nascimento, M.H.R.: Pre-dispatch of load in thermoelectric power plants considering maintenance management using fuzzy logic. IEEE Access 6, 41379–41390 (2018). https://doi.org/10.1109/ACCESS.2018.2854612
Hanafi, I.F., Dalimi, I.R.: Economic load dispatch optimation of thermal power plant based on merit order and bat algorithm. In: 2019 IEEE International Conference on Innovative Research and Development (ICIRD), pp. 1–5 (2019). https://doi.org/10.1109/ICIRD47319.2019.9074734
Jayabarathi, T., Raghunathan, T., Adarsh, B.R., Suganthan, P.N.: Economic dispatch using hybrid grey wolf optimizer. Energy 111, 630–641 (2016). https://doi.org/10.1016/j.energy.2016.05.105
Kumar, R.D., Chakrapani, A., Kannan, S.: Design and analysis on molecular level biomedical event trigger extraction using recurrent neural network-based particle swarm optimisation for covid-19 research. Int. J. Comput. Appl. Technol. 66(3–4), 334–339 (2021). https://doi.org/10.1504/IJCAT.2021.120459
Liu, H., Shen, X., Guo, Q., Sun, H.: A data-driven approach towards fast economic dispatch in electricity-gas coupled systems based on artificial neural network. Appl. Energy 286, 116480 (2021). https://doi.org/10.1016/j.apenergy.2021.116480
Nahavandi, B., Homayounfar, M., Daneshvar, A., Shokouhifar, M.: Hierarchical structure modelling in uncertain emergency location-routing problem using combined genetic algorithm and simulated annealing. Int. J. Comput. Appl. Technol. 68(2), 150–163 (2022). https://doi.org/10.1504/IJCAT.2022.123466
Nascimento, M.H.R., Nunes, M.V.A., Rodríguez, J.L.M., Leite, J.C.: A new solution to the economical load dispatch of power plants and optimization using differential evolution. Electr. Eng. 99, 561–571 (2017). https://doi.org/10.1007/s00202-016-0385-2
e Silva, M.D.A.C., Klein, C.E., Mariani, V.C., Coelho, L.D.S.: Multiobjective scatter search approach with new combination scheme applied to solve environmental/economic dispatch problem. Energy 53(C), 14–21 (2013). https://doi.org/10.1016/j.energy.2013.02.045
Silva, I.C. Jr., do Nascimento, F.R., de Oliveira, E.J., Marcato, A.L., de Oliveira, L.W., Passos Filho, J.A.: Programming of thermoelectric generation systems based on a heuristic composition of ant colonies. Int. J. Electric. Power Energy Syst. 44, 134–145 (2013). https://doi.org/10.1016/j.ijepes.2012.07.036
Sundaram, A.: Multiobjective multi verse optimization algorithm to solve dynamic economic emission dispatch problem with transmission loss prediction by an artificial neural network. Appl. Soft Comput. 124, 109021 (2022). https://doi.org/10.1016/j.asoc.2022.109021
Tian, J., Wei, H., Tan, J.: Global optimization for power dispatch problems based on theory of moments. Int. J. Electric. Power Energy Syst. 71, 184–194 (2015). https://doi.org/10.1016/j.ijepes.2015.02.018
Wang, K., Zhou, C., Jia, R., He, W.: Adaptive variable weights immune particle swarm optimization for economic dispatch of power system. In: 2020 Asia Energy and Electrical Engineering Symposium (AEEES), pp. 886–891 (2020). https://doi.org/10.1109/AEEES48850.2020.9121455
Wei, H., Chen, S., Pan, T., Tao, J., Zhu, M.: Capacity configuration optimisation of hybrid renewable energy system using improved grey wolf optimiser. Int. J. Comput. Appl. Technol. 68(1), 1–11 (2022). https://doi.org/10.1504/IJCAT.2022.123234
Zhang, M.J., Long, D.Y., Li, D.D., Wang, X., Qin, T., Yang, J.: A novel chaotic grey wolf optimisation for high-dimensional and numerical optimisation. Int. J. Comput. Appl. Technol. 67(2–3), 194–203 (2021). https://doi.org/10.1504/IJCAT.2021.121524
Acknowledgments
The authors would like to thank Centrais Elétricas da Paraíba (EPASA) for the financial support to PD-07236-0011-2020 - Optimization of Energy Performance of Combustion Engine Thermal Power Plants with a Digital Twin approach, developed under the Research and Development program of the National Electric Energy Agency (ANEEL R &D), which the engineering company carried out Radix Engenharia e Software S/A, Rio de Janeiro, Brazil.
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Justino, G.T. et al. (2023). A Multi-algorithm Approach to the Optimization of Thermal Power Plants Operation. In: Naldi, M.C., Bianchi, R.A.C. (eds) Intelligent Systems. BRACIS 2023. Lecture Notes in Computer Science(), vol 14195. Springer, Cham. https://doi.org/10.1007/978-3-031-45368-7_14
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