Applying Sliding Mode Control Along with Particle Swarm Algorithm in Order to Optimally Control the System Wind Turbines with Variable Speed

Article Type:
Research/Original Article (بدون رتبه معتبر)
The utilization of renewables is developing rapidly due to environmental issues and a lack of fuel fossils. In this regard, wind turbines, as a type of renewable energy source, have been widely adopted in the power system thanks to their higher power generation capacity. Numerous methods have been introduced so far to control wind turbines, which are essential in generating wind energy. The sliding mode control, because of its unique features like being resistant to external disturbances, dynamics unmodeled and uncertainty, the relative simplicity of the control law, a relatively small amount of calculations, and straightforward implementation, is amongst the most preferred control designs in this realm. In this study, the control strategy is based on a combination of sliding mode and particle swarm optimization and is applied to a wind turbine with a grid-connected squirrel cage induction generator. The proposed method maximizes the power output of the wind turbine by limiting small changes in the electromagnetic torque. The main goal of the suggested design is to reduce the squared error of the electromagnetic torque, rotor speed, and stator current. The sliding mode control for the wind turbine helps obtain optimal values for the parameters of the design.
Journal of Green Energy Research and Innovation, Volume:1 Issue: 2, Summer 2024
64 to 80  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!