Multi-component opportunistic maintenance optimization for wind turbines with consideration of seasonal factor

Abstract

Aiming at wind turbines, the opportunistic maintenance optimization is carried out for multi-component system, where minimal repair, imperfect repair, replacement as well as their effects on component’s effective age are considered. At each inspection point, appropriate maintenance mode is selected according to the component’s effective age and its maintenance threshold. To utilize the maintenance opportunities for the components among the wind turbines, opportunistic maintenance approach is adopted. Meanwhile, the influence of seasonal factor on the component’s failure rate and improvement factor’s decrease with the increase of repair’s times are also taken into account. The maintenance threshold is set as the decision variable, and an opportunistic maintenance optimization model is proposed to minimize wind turbine’s life-cycle maintenance cost. Moreover, genetic algorithm is adopted to solve the model, and the effectiveness is verified with a case study. The results show that based on the component’s inherent reliability and maintainability, the proposed model can provide optimal maintenance plans accordingly. Furthermore, the higher the component’s reliability and maintainability are, the less the times of repair and replacement will be.

摘要

以风力机为对象,考虑最小维修、不完全维修、更换等维修行为对部件有效年龄的影响,研究 多部件系统机会维修优化问题。在每个检测点,根据部件的有效年龄和维修阈值选择适当的维修模式。 为把握风力机多部件的维修机遇,采用机会维修方法。同时,考虑季节因素对零部件的故障率以及改 善因子随维修次数的增加而降低的情况,将维修阈值作为决策变量,以风力机全寿命周期维修成本最 低为目标,建立风力机多部件机会维修优化模型。采用遗传算法求解模型,通过实例验证模型的有效 性。结果表明,该模型可以根据部件固有的可靠性和维修性特征,制定最优维修计划。此外,部件可 靠性越高、维修性越好,维修和更换次数越少。