基于有效年龄的风力机多部件维修优化

Maintenance optimization for multi-component of wind turbine based on effective age

以风力机为对象,研究多部件系统的维修决策与优化问题,提出基于有效年龄的多部件维修优化模型.采用等周期检测方式,采取"继续工作"、"预防性维修"和"更换"3种维修策略,分析在各检测点处部件有效年龄的变化规律.考虑风力机部件之间的经济相关性,构造涵盖维修成本、更换成本、停机损失成本以及固定维护成本的维护成本函数,建立风力机维修成本优化数学模型;采用分支定界算法求解检测点处系统的最优维修策略.以风力机系统5个核心部件为对象,完成案例研究.结果表明:该模型能够有效描述风力机的维修过程,实现维护成本优化.

Targeted at wind turbines,the maintenance decision and its optimization for a multi-component system is studied,and the corresponding maintenance optimization model is proposed based on effective age.The components＇ effective ages at each inspection point changing with maintenance policies including ＂continuing to work＂,＂preventive maintenance＂,and ＂replacement＂ are analyzed by the periodical inspection method.By considering economic dependence among the components of wind turbine,the mathematical model of maintenance optimization is established.In the maintenance cost function,the repair cost,replacement cost,breakdown loss and fixed maintenance cost are included.The branch and bound algorithm is used to solve the model,and optimal policies at each inspection point are obtained for the system.A case study of a five-component wind turbine is provided.The result shows that the presented model can effectively describe the maintenance process of a wind turbine,and the maintenance cost can be optimized.