考虑疲劳均衡的海上风电场主动尾流控制研究

海上风电场运行维护成本高,而其尾流效应影响更加突出,不但会影响风电场的发电效率,还会增大风电场内机组的疲劳载荷,增加运维成本。文章针对基于疲劳均匀的海上风电场主动尾流控制展开研究,通过GH-Bladed软件计算建立了风电机组在典型控制工况下关键零部件的疲劳损伤量数据库。其中的工况包括最大功率追踪、桨距角控制和偏航控制3种,并引用了量子粒子群算法,通过变桨和偏航两种方法进行优化控制,以实现海上风电场发电量提升和风电机组疲劳均匀的多目标主动尾流优化控制策略,降低海上风电场运维成本。仿真结果表明了所提出控制方法的可行性。

Active wake control of offshore wind farm considering fatigue equilibrium

The operation and maintenance cost of offshore wind farms is high,and the wake effect is more prominent.It will not only affect and the efficiency of the wind turbines and the overall wind farm,but also affect the fatigue load of the wind turbines,causing difficulties in operation and maintenance.This paper focuses on the study of active wake control of offshore wind farms based on uniform fatigue.Based on the calculation of GH-Bladed software,a database of fatigue damage of key components of wind turbines under typical control conditions is established.The conditions include maximum power tracking,pitch angle control and yaw control.Based on the quantum particle swarm algorithm,multi-objective active wake optimization control strategy through pitch angle control and yaw control are carried out to achieve the increase in the power generation of offshore wind farms and the uniform fatigue of wind turbines.The simulation results show the feasibility of the proposed control strategy.