Work

Optimization Techniques for Wind Turbine Power Recovery Using Average Models and Genetic Algorithms

Year: 2025

Type: article

Abstract: This paper presents a systemic design methodology for wind energy power systems. The foundation of this research is the creation of two average models of wind energy power systems, which are based on average value theory for power converters like rectifiers and analytical techniques for permanent magnet generator design. The power component library, which is integrated into the Matlab–Simulink R2022b simulation environment, is used to validate these models against custom models as well as with each other. A permanent magnet generator design model was created by combining the analytical model with the average rectifier model. The power chain average models are coupled to a Genetic Algorithm tool for turbine recovered power optimization.

Source: Electronics

DOI: 10.3390/electronics14234630

Authors: Saber Hadj Abdallah, Fatma Ben Salem, Jaouhar Mouine, Souhir Tounsi

Institutions: University of Sfax, National School of Electronics and Telecommunications of Sfax, Tunisia, Prince Sattam Bin Abdulaziz University

Language: English

Topic: Wind Turbine Control Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896