基于多状态空间划分的风电机组非完美维修决策

张晓红; 张剑飞; 何于港; 甘婕; 王金贺; 王欣洁

doi:10.19912/j.0254-0096.tynxb.2021-0507

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (11) : 203-214. DOI: 10.19912/j.0254-0096.tynxb.2021-0507

基于多状态空间划分的风电机组非完美维修决策

张晓红^1~3, 张剑飞^1,2, 何于港^1,2, 甘婕^1~3, 王金贺^1~3, 王欣洁²

作者信息 +

IMPERFECT MAINTENANCE DECISION OF WIND TURBINE BASED ON MULTI-STATE SPACE PARTITIONING

Zhang Xiaohong^1~3, Zhang Jianfei^1,2, He Yugang^1,2, Gan Jie^1~3, Wang Jinhe^1~3, Wang Xinjie²

Author information +

文章历史 +

摘要

对风电机组的合理维护维修是减少风电场运维成本的重要方式。同一风电场的多台风力发电机构成了一个典型的多部件系统,各风力发电机的运行性能共同决定了系统整体的运行效率和维修需求。同时,对各风力发电机的维修效果也将影响到系统后续的可利用率和维修决策。该文以同一风电场中多台风力发电机的主轴组成的同型多部件系统为对象,在考虑非完美维修的条件下制定基于周期检测的视情机会维修策略;构建考虑非完美维修的多状态退化空间划分模型,以定义系统状态与维修需求的表示及关系,并归纳推导系统维修需求概率的计算模型和非完美维修干预下的系统退化及维修恢复过程中的状态转移概率;在此基础上,建立系统平均费用率解析模型,以确定最优的检测周期和维修阈值。通过某风电场的主轴实际运行数据进行数值实验,验证策略和模型的正确性和有效性,并对参数进行灵敏度分析以说明模型的适用性。结果表明该策略能有效减少风电场的运维成本。

Abstract

Reasonable maintenance of wind turbines is an important way to reduce wind farm operation and maintenance costs. Wind turbines in the same wind farm constitute a typical multi-component system, and the operating performance of each wind turbine determines the overall operating efficiency and maintenance requirements of the system. The maintenance effect of each wind turbine will also affect simultaneously the subsequent availability and maintenance decision-making of the system. In this paper, a condition-based opportunistic maintenance strategy based on periodic detection under the imperfect maintenance is developed for the same type of multi-component system composed of main shafts of multiple wind turbines in a wind farm. A multi-state degradation space partition model is constructed to define the representation and relationship between the system state and the maintenance demand, besides, the calculation model of the system maintenance demand and the probability of state transition probability in the process of degradation and maintenance recovery are summarized and deduced. On this basis, an analytical model of system average cost rate is established to determine the optimal detection period and maintenance threshold. Numerical experiments are carried out to verify the correctness and effectiveness of the strategy and model through the actual operating data of the main shafts of a wind farm, and sensitivity analysis of the parameters is carried out to illustrate the applicability of the model. The results show that this strategy can effectively reduce the operation and maintenance costs of wind farms.

导出引用

张晓红, 张剑飞, 何于港, 甘婕, 王金贺, 王欣洁. 基于多状态空间划分的风电机组非完美维修决策[J]. 太阳能学报. 2022, 43(11): 203-214 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0507

Zhang Xiaohong, Zhang Jianfei, He Yugang, Gan Jie, Wang Jinhe, Wang Xinjie. IMPERFECT MAINTENANCE DECISION OF WIND TURBINE BASED ON MULTI-STATE SPACE PARTITIONING[J]. Acta Energiae Solaris Sinica. 2022, 43(11): 203-214 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0507

中图分类号： TH165+.3 TK83

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