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投稿时间:2018-05-21
投稿时间:2018-05-21
中文摘要: 海上风机重要部件价格高昂,备件数量配置不合理会导致风机可用率低,成本增加。为了合理确定备件数量,提出了基于部件更新的海上风电场备件数量优化方案。首先,针对部件复杂的劣化过程引入不定期检测策略,运用时间延迟理论优化部件维护策略,得出了部件的更新周期。其次,考虑备件的循环利用,以提高部件可用率为目标,构建基于部件更新的马尔科夫过程。最后,通过算例仿真,证实了该方法有助于合理配置备件数量,降低备件管理成本。
Abstract:The high price of the important parts of the offshore wind turbine and the irrational allocation of spare parts will lead to low availability of wind turbines and an increase in costs.In order to reasonably determine the number of spare parts,an optimization scheme for the number of spare parts of offshore wind farms based on component updating is proposed.First,considering the complex deterioration process of the components,the time delay theory is introduced,and the time delay theory is applied to the maintenance strategy of offshore wind turbine.This article optimizes the component update cycle through the component maintenance strategy.Then,considering the cycle of spare parts,the availability of the entire wind farm components is taken as the goal with maintenance strategy.The number of spare parts of the offshore wind farm is optimized through the Markov process.Finally,taking the components of the wind turbine as an example,the traditional optimization process is compared.The example shows that the method can correctly configure the number of spare parts and effectively reduce the cost of spare parts management.
文章编号:20183001 中图分类号:TK83 文献标志码:
基金项目:国家自然科学基金(51707112);上海绿色能源并网工程技术研究中心项目(13DZ2251900);上海市科技创新行动计划(16DZ1203504)。
作者 | 单位 | |
符杨 | 上海电力学院 | mfudong@126.com |
杨凡 | 上海电力学院 | |
王泽宁 | 美国洛杉矶钻石吧高中 |
引用文本:
符杨,杨凡,王泽宁.基于部件更新的海上风电场备件数量优化[J].上海电力大学学报,2018,34(3):207-212.
FU Yang,YANG Fan,WANG Zening.Optimization of Spare Parts Management for Offshore Wind Farm Based on Component Updating[J].Journal of Shanghai University of Electric Power,2018,34(3):207-212.
符杨,杨凡,王泽宁.基于部件更新的海上风电场备件数量优化[J].上海电力大学学报,2018,34(3):207-212.
FU Yang,YANG Fan,WANG Zening.Optimization of Spare Parts Management for Offshore Wind Farm Based on Component Updating[J].Journal of Shanghai University of Electric Power,2018,34(3):207-212.