Efficient Optimization of Large Wind Farms for Real-Time Control [electronic resource] : Preprint

• Ngôn ngữ: eng
• Ký hiệu phân loại: 621.5 Pneumatic, vacuum, low-temperature technologies
• Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2018
• Mô tả vật lý: Size: 1.8 MB : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 258103
• Chủ đề: 1. 17 wind energy; 2. Distributed optimization; 3. Real time; 4. Wind energy; 5. Wind farm control

Tóm tắt

Wind turbines in a wind farm typically operate individually to maximize their own performance regardless of the impact of aerodynamic interactions on neighboring turbines. Properly coordinating turbines, by operating some turbines suboptimally, within a wind farm has the potential to improve overall wind farm performance. Computing the optimal control strategy under varying atmospheric conditions can be computationally intense for large wind farms. As wind power farms increase in size and related models become more complex, computationally efficient algorithms are needed to perform real-time optimization and control. This study proposes a distributed optimization framework and computationally efficient wake steering wind farm control strategy that uses the yaw angle of a turbine to alter the behavior of a turbine wake and minimize turbine interactions. This computational efficiency allows the strategy to be feasible for real-time control.