Please use this identifier to cite or link to this item: https://hdl.handle.net/10953/3813
Title: Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm
Authors: Mohamed, Nour A.
Hasanien, Hany M.
Al-Ammar, Essam A.
Tostado-Véliz, Marcos
Turky, Rania A.
Jurado, Francisco
Badr, Ahmed O.
Abstract: This article describes a technique for improving the performance of an offshore wind farm (OWF), which includes a permanent magnet synchronous generator (PMSG) driven by a variable-speed wind turbine (VSWT) and connected to the grid through a high-voltage direct current transmission system (HVDC). Under various network disturbances, the gorilla tropical optimization (GTO) metaheuristic method is used to fine-tune the proportional-integral (PI) controller gains for VSC-based PMSG-VSWT and VSC-based HVDC transmission systems. This study compares several strategies for extracting the maximum power from a system while maintaining stability under symmetrical and unsymmetrical fault circumstances. Compared to different algorithms, GTO provides better results and improves system recovery and stability after disturbances. As a consequence, dynamic and transient stability may be enhanced. MATLAB/Simulink is used to implement the control mechanism.
Issue Date: May-2023
Publisher: Wiley
Citation: Mohamed, N.A., Hasanien, H.M., Al-Ammar, E.A., Tostado-Véliz, M., Turky, R.A., Jurado, F., Badr, A.O.: Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm. IET Gener. Transm. Distrib. 17, 2388–2400 (2023). https://doi.org/10.1049/gtd2.12814
Appears in Collections:DIE-Artículos



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