An innovative bio-inspired Aquila technique for efficient solution of combined power and heat economic dispatch problem
Author:
Funder
Jazan University
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-69191-z.pdf
Reference70 articles.
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2. Emam, M. M., Houssein, E. H., Tolba, M. A., Zaky, M. M. & Ali, M. H. Application of modified artificial hummingbird algorithm in optimal power flow and generation capacity in power networks considering renewable energy sources. Sci. Rep. 13, 21446. https://doi.org/10.1038/s41598-023-48479-6 (2023).
3. Hassan, M. H., Kamel, S., Jurado, F., Ebeed, M. & Elnaggar, M. F. Economic load dispatch solution of large-scale power systems using an enhanced beluga whale optimizer. Alex. Eng. J. 72, 573–591. https://doi.org/10.1016/J.AEJ.2023.04.002 (2023).
4. Daqaq, F., Hassan, M. H., Kamel, S. & Hussien, A. G. “A leader supply-demand-based optimization for large scale optimal power flow problem considering renewable energy generations. Sci. Rep. 13, 1. https://doi.org/10.1038/s41598-023-41608-1 (2023).
5. Ahmed, I., Rehan, M., Basit, A. & Hong, K. S. Greenhouse gases emission reduction for electric power generation sector by efficient dispatching of thermal plants integrated with renewable systems. Sci. Rep. 12, 1. https://doi.org/10.1038/s41598-022-15983-0 (2022).
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