[1]苏春,胡照勇,郑玉巧.基于可用度约束的风力机单部件顺序维修优化[J].东南大学学报(自然科学版),2019,49(1):110-115.[doi:10.3969/j.issn.1001-0505.2019.01.016] 　Su Chun,Hu Zhaoyong,Zheng Yuqiao.Single part sequential maintenance optimization for wind turbines based on availability constraint[J].Journal of Southeast University (Natural Science Edition),2019,49(1):110-115.[doi:10.3969/j.issn.1001-0505.2019.01.016] 点击复制 基于可用度约束的风力机单部件顺序维修优化() 分享到： var jiathis_config = { data_track_clickback: true };

49

2019年第1期

110-115

2019-01-20

文章信息/Info

Title:
Single part sequential maintenance optimization for wind turbines based on availability constraint

1东南大学机械工程学院, 南京 211189; 2兰州理工大学机电工程学院, 兰州 730050
Author(s):
1School of Mechanical Engineering, Southeast University, Nanjing 211189, China
2School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China

Keywords:

TH17
DOI:
10.3969/j.issn.1001-0505.2019.01.016

Abstract:
To improve the efficiency of operation and maintenance of wind farms, the single part maintenance optimization problem of wind turbines was studied. The effective age was introduced to describe the reduction of improvement factors with the number of the maintenance, and the influences of minimal repair, imperfect repair and replacement on the effective age of the component were analyzed. The replacement cycle was divided into several maintenance periods. Considering the maintenance cost, downtime losses, fixed cost and availability, and taking the number of maintenance periods and the length of each maintenance period as variables, a sequential maintenance optimization model for single part was proposed with the goal to minimize the maintenance cost per unit time in a replacement period. The interior point method and the enumeration method were used to solve the model. A case study was given to prove the validity of the model. The results show that compared with the traditional periodical maintenance and sequential maintenance, the optimal maintenance plan obtained by the model can ensure that the availability of wind turbine components is above 98%, and the maintenance period is more in line with engineering practice.

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