Abstract In wind farms, the fatigue of a wind turbine reduces its life cycle. Additionally, when turbines are subjected to non-uniform fatigue loads, they tend to fail at certain high fatigue loads, which weakens the reliability of the wind farm and increases operating running costs. To operate the wind farm economically, the concept of equivalent fatigue of wind turbines is proposed, based on which an optimal strategy of active and reactive power dispatching of the wind farm is established. This considers the active power output of the wind farm and the fatigue of the wind turbines simultaneously. The swarm intelligence algorithm is used to solve the global optimal problem. Focusing on the profits of the wind farm, the reference values of optimal active and reactive output power of each turbine are calculated. Simulation results under the condition of free output and limited output verify that the proposed strategy can reduce the fatigues of wind turbines and decrease the losses of the wind farm. Thus, the life span of each wind turbine is extended, and the wind farm profits are increased.

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考虑涡轮疲劳的双馈风电场优化策略

摘要 在风电场中，风力发电机组的疲劳会缩短其生命周期。此外，当涡轮机承受不均匀的疲劳载荷时，它们往往会在一定的高疲劳载荷下失效，这削弱了风电场的可靠性并增加了运行成本。为实现风电场的经济运行，提出了风电机组等效疲劳的概念，在此基础上建立了风电场有功和无功优化调度策略。这同时考虑了风电场的有功功率输出和风力涡轮机的疲劳。群体智能算法用于解决全局最优问题。以风电场的利润为核心，计算出每台风机最佳有功和无功输出功率的参考值。自由出力和限制出力条件下的仿真结果验证了所提出的策略能够降低风电机组的疲劳，降低风电场的损耗。从而延长了每台风机的使用寿命，增加了风电场的利润。