• CN:11-2187/TH
  • ISSN:0577-6686

›› 2014, Vol. 50 ›› Issue (14): 62-68.

• 论文 • 上一篇    下一篇

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基于滚动窗口方法的风力机动态机会维修优化

苏春 陈武   

  1. 东南大学机械工程学院
  • 发布日期:2014-07-20

Dynamic Opportunistic Maintenance Optimization for Wind Turbine System Based on Rolling Horizon Approach

SU Chun;CHEN Wu   

  1. School of Mechanical Engineering, Southeast University
  • Published:2014-07-20

摘要: 以由多个部件组成的风力机为对象,针对此类系统存在的维护困难、停机损失大等特点,研究多部件系统动态机会维修优化问题。采用役龄回退因子描述部件不完全维修效果,在定义故障率函数的基础上建立单部件不完全维修平均成本模型;考虑预防性维修、最小维修和停机损失等维修成本,根据部件维修活动之间的经济相关性,以节省的总机会维修成本最大为目标,研究预防性维修活动安排,构建有限时间内多部件系统机会维修决策模型;考虑到风力机运行环境的严酷性和动态性,采用滚动窗口方法完成维修活动的动态调度,以随机停机事件作为风力机成组维修的机会,并动态更新原有的维修计划。以某风力机齿轮箱、转子、发电机和轴承等四个关键部件的维修决策为例,完成案例研究。研究结果表明,该模型能够实时更新风力机系统维修计划,实现维修活动的动态优化,有效地降低维修成本。

关键词: 风力机;预防性维修;机会维修;滚动窗口方法;动态优化

Abstract: Selecting the multi-component system of wind turbine as object of study, aiming at its characteristics of difficulty in maintenance and heavy downtime loss, the dynamic opportunistic maintenance and its optimization for multi-component system is carried out. The age reduction factor is introduced to describe the effect of imperfect maintenance, the average maintenance cost model of single component is proposed on the basis of the definition of failure rate function. Considering the economic dependence among the components, and by taking into account the cost of preventive maintenance, minor maintenance and downtime, the maintenance decision model in a finite time horizon is presented, which aims to maximize the total opportunistic maintenance cost saving by arranging the maintenance activities. In view of the harsh and changing operating environment of wind turbines, dynamic maintenance scheduling is realized based on rolling horizon approach, the stochastic downtime event is used to arrange the maintenance activities and the maintenance plan is updated timely. Case study of a wind turbine including four key components of gearbox, rotor, generator and bearing is provided. The result shows that the presented model can update the maintenance plan in time so as to dynamically optimize the maintenance activities and reduce the maintenance cost.

Key words: wind turbine;preventive maintenance;opportunistic maintenance;rolling horizon approach;dynamic optimization

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