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

Author:

Mohamed Nour A.1,Hasanien Hany M.1ORCID,Al‐Ammar Essam A.2,Tostado‐Véliz Marcos3,Turky Rania A.4,Jurado Francisco3ORCID,Badr Ahmed O.1

Affiliation:

1. Electrical Power and Machines Department Faculty of Engineering Ain Shams University Cairo Egypt

2. Department of Electrical Engineering College of Engineering King Saud University Riyadh Saudi Arabia

3. Department of Electrical Engineering University of Jaén Linares Spain

4. Electrical Engineering Department Faculty of Engineering and Technology Future University in Egypt Cairo Egypt

Abstract

AbstractThis 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.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

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