Optimal Scheduling Of Wind Farm For The Minimum Blades Damage

Wind energy is a kind of renewable energy with volatility and intermittent. As the rapid development of the wind power, the scale of the wind farm is increasing and the number of the wind turbine is growing. However, the wind farm connecting to the grid has brought some new challenges for the power system. So it is needed to regulate the output power of the wind turbine. The research on optimal scheduling satisfying the output range and power balance constraints in wind farm under a certain scheduling period is conducive to improve the economically operation efficiency and enhance the Grid’s ability to accept the grid connection of the wind farm. In this thesis, research on the unit commitment optimization in wind farm has been undertaken and following works were conducted:1) The quantitative relation between the wind turbine operational process and the mechanical loss of the blade has been established. Taking the blade as the research object, this thesis analyzed and calculated the shimmy torque of the blade root through simulating different wind regime and load case, and the bending moment load and cycle index of the blade root can be obtained. Then combining the fatigue load spectrum and fatigue cumulative damage theories to analyze and the wind turbine blade damage value under different working condition has been determine.2) Based on the wind power prediction, this thesis established the relations between the wind turbine damage under different wind regime and the unit commitment in wind farm, then calculated the total damage value of the wind turbine in the wind farm during a scheduling cycle. Combining the limit requirements of the wind farm load and the required wind farm output power of the grid, a mathematics model targeting at the minimum blade damage is established by genetic algorithm.3) A program targeting at the minimum blade damage is developed. It is verified by a49.5MW wind farm example. The result maximized the output power production under the load limit condition. Meanwhile, it decreased the number of unit startup and shutdown and reduced the wind turbine damage during wind farm operation. Besides, it can also indicate that proposed optimal model is reasonable and effective.