A maximum power point tracking control for wind energy conversion systems using regularized data-enabled predictive control

Key Points

• This approach enhances maximum power point tracking in wind energy conversion systems, ensuring optimal energy extraction.
• Key performance indicators include improved energy efficiency and system reliability under variable wind conditions.
• The research utilizes a regularized data-enabled predictive control method to optimize energy conversion strategies.
• These findings suggest potential advancements in renewable energy systems, calling for further real-world applications and assessments.