Frequency control of hybrid microgrid comprising solid oxide fuel cell using hunger games search
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07512-x.pdf
Reference59 articles.
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2. Shamshirband S, Rabczuk T, Chau K-W (2019) A Survey of deep learning techniques: application in wind and solar energy resources. IEEE Access 7(1):164650–164666. https://doi.org/10.1109/ACCESS.2019.2951750
3. Qi X, Madonski R, Liu J et al (2021) Fast frequency recovery-oriented optimal load frequency control: an active disturbance rejection control approach. ISA Trans 214:23. https://doi.org/10.1016/j.isatra.2020.12.026
4. El-Fergany AA, El-Hameed MA (2017) Efficient frequency controllers for autonomous two-area hybrid microgrid system using social-spider optimiser. IET Renew Power Gener 11(3):637–684. https://doi.org/10.1049/iet-gtd.2016.0455
5. Shakibjoo AD, Moradzadeh M, Moussavi SZ et al (2022) Load frequency control for multi-area power systems: a new type-2 fuzzy approach based on Levenberg-Marquardt algorithm. ISA Trans 121:40–52. https://doi.org/10.1016/j.isatra.2021.03.044
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1. Spiral-refraction mutation prairie dog algorithm: Optimization framework for engineering design of interconnected multimachine power system;Applied Soft Computing;2024-11
2. A Multi-Stage Adaptive Sequential Parameter Exploration Hunger Games Search Algorithm for Solving Complex Optimization Problems;IEEE Access;2023
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