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基于可靠度约束的风电机组机会检修模型
引用本文:李培,李宏博,刘盟伟,许敏敏.基于可靠度约束的风电机组机会检修模型[J].电力系统保护与控制,2017,45(21):7-13.
作者姓名:李培  李宏博  刘盟伟  许敏敏
作者单位:国网技术学院,山东 济南 250000,国网技术学院,山东 济南 250000,鄂尔多斯电业局,内蒙古 鄂尔多斯 017000,国网技术学院,山东 济南 250000
基金项目:国家电网公司科技项目(522727160002)
摘    要:对风电机组进行预防性检修,能够有效提高机组的可靠性。首先以风电机组单个部件的可靠度作为约束条件,以单部件单位时间检修成本最小作为目标函数,求得单部件的最佳检修周期和检修次数。在此基础上,对符合一定条件的部件进行机会检修,构建了风电机组的机会检修模型。最后,以机会检修策略下总的检修费用最小作为目标函数,以机组整体的可靠度作为约束条件,利用遗传算法对该模型进行求解以得到最佳的机会检修阈值和最小的检修总费用。通过算例分析表明,该机会检修模型能够有效节约总的检修成本。该研究对检修部门制定检修计划具有一定的参考意义。

关 键 词:风电机组  可靠度  机会检修  检修成本  遗传算法
收稿时间:2016/9/12 0:00:00
修稿时间:2016/11/19 0:00:00

Opportunistic maintenance model for wind turbine based on reliability constraint
LI Pei,LI Hongbo,LIU Mengwei and XU Minmin.Opportunistic maintenance model for wind turbine based on reliability constraint[J].Power System Protection and Control,2017,45(21):7-13.
Authors:LI Pei  LI Hongbo  LIU Mengwei and XU Minmin
Affiliation:State Grid of China Technology College, Jinan 250000, China,State Grid of China Technology College, Jinan 250000, China,Ordos Electric Power Bureau, Ordos 017000, China and State Grid of China Technology College, Jinan 250000, China
Abstract:Preventive maintenance of wind turbine can effectively improve the reliability of wind turbine. This paper firstly sets single component reliability of wind turbine as constraint condition, single component minimum unit time maintenance cost as objective function to obtain optimal maintenance cycle and maintenance times. On this basis, the components which meet certain conditions are repaired, then the opportunistic maintenance model of wind turbine is built. Lastly, it takes the minimum total cost under opportunistic maintenance as objective function and the wind turbine availability as constraint condition, and then solves this model to obtain optimal threshold of opportunistic maintenance and minimum total maintenance cost using genetic algorithm. The example analysis shows that the model can effectively save the total maintenance cost. This study has some reference significance for the maintenance department to make the maintenance plan. This work is supported by Science and Technology Project of State Grid Corporation of China (No. 522727160002).
Keywords:wind turbine  reliability  opportunistic maintenance  maintenance cost  genetic algorithm
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