Abstract

Due to the depletion of fossil fuels and increasing demand for energy supply, as well as stricter environmental rules and regulations, wind energy has been widely implemented as a renewable energy source. The literature studies various control methods to maximize electrical power output while minimizing the load on wind turbines. One of the most widely used control methods is pitch angle control, which is favored due to its reliability and low maintenance and operation costs. However, this method cannot track the non-linearity of the turbine system dynamics and satisfy multiple optimization objectives. To overcome these issues, multi-variable controllers are widely implemented and studied in the literature. Moreover, to enhance the power output of wind turbines, it is crucial to understand the optimal trajectories of the initiation and the spin-up motion of wind turbines. Therefore, in this paper, we simulated a variable-speed, multi-variable wind turbine model using Deterministic Dynamic Programming (DDP). We found globally optimal spin-up trajectories from rest under the two optimization goals of maximizing the electrical power output and minimizing the rate of change of rotor acceleration. By utilizing a terminal penalty and a penalty factor on the rate of change of rotor acceleration, we analyzed the impacts of these two penalty factors on the wind turbine's optimal trajectories and the trade-offs between the multiple optimization objectives.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call