Gorilla tropical optimization algorithm solution for performance enhancement of offshore wind farm

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.

Automated summary

This article presents a technique to enhance the performance of an offshore wind farm by utilizing a permanent magnet synchronous generator with a variable-speed wind turbine and a high-voltage direct current transmission system. The gorilla tropical optimization method is employed to fine-tune the proportional-integral controller gains for the transmission systems. The study demonstrates that the proposed method outperforms other algorithms in terms of system recovery and stability after disturbances, leading to improved dynamic and transient stability.