A preventive opportunistic maintenance method for railway traction power supply system based on equipment reliability

被引：12
作者：
Lin, Sheng [1 ]
Li, Nan [1 ]
Feng, Ding [1 ]
Guo, Xiaomin [2 ]
Pan, Weiguo [2 ]
Wang, Jun [2 ]
Yang, Chao [3 ]
机构：
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Peoples R China
[2] Signal Commun Grp Co, Beijing Natl Railway Res & Design Inst, Beijing 100070, Peoples R China
[3] State Grid Neijiang Elect Power Supply Co, Neijiang 641100, Peoples R China
来源：
RAILWAY ENGINEERING SCIENCE | 2020年 / 28卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Electrified railway; Opportunistic maintenance interval; Preventive opportunistic maintenance; Reliability; Traction power supply system; Weibull distribution; OPTIMIZATION; IMPERFECT; PREDICTION; STRATEGY; WEIBULL; POLICY;
D O I：
10.1007/s40534-020-00211-0
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
Conventional maintenance mode for the traction power supply system (TPSS) is to perform scheduled regular maintenance activities for power supply equipment, while such maintenance mode may result in undue maintenance tasks and low efficiency due to different degradation processes of different sorts of equipment. To address this problem, this paper introduces a preventive opportunistic maintenance (POM) method for TPSS based on equipment reliability. Firstly, a POM model is established by considering the equipment reliability degradation process based on Weibull distribution. Then, by considering the total power outage time in the planned operation cycle of TPSS as the optimization objective, the optimal maintenance scheme of TPSS is formulated by iterative method of maintenance strategies. The proposed method is verified by introducing practical maintenance strategies and fault record data of the traction transformer, circuit breaker and disconnector in an actual TPSS of a railway administration. Results show that the presented method can make full use of the existing fault data to develop a POM scheme for TPSS. It can improve maintenance efficiency and reduce power outage time, providing guidance to formulate scientific maintenance strategies for TPSS.
引用
收藏
页码：199 / 211
页数：13
相关论文
共 28 条
[1]   Multi-objective opportunistic maintenance optimization of a wind farm considering limited number of maintenance groups [J].
Abdollahzadeh, Hadi ;
Atashgar, Karim ;
Abbasi, Morteza .
RENEWABLE ENERGY, 2016, 88 :247-261
[2]   Lifetime efficiency index model for optimal maintenance of power substation equipment based on cuckoo optimisation algorithm [J].
Afzali, Peyman ;
Keynia, Farshid .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (11) :2787-2795
[3]   Reliability optimization of wind farms considering redundancy and opportunistic maintenance strategy [J].
Atashgar, Karim ;
Abdollahzadeh, Hadi .
ENERGY CONVERSION AND MANAGEMENT, 2016, 112 :445-458
[4]  
BESNARD F, 2011, P IEEE POW TECH 2011
[5]  
[陈昊 Chen Hao], 2019, [机械设计, Journal of Machine Design], V36, P124
[6]   Imperfect Maintenance Policy Considering Positive and Negative Effects for Deteriorating Systems With Variation of Operating Conditions [J].
Chen, Yunxia ;
Gong, Wenjun ;
Xu, Dan ;
Kang, Rui .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2018, 15 (02) :872-878
[7]   Mission Reliability-Oriented Selective Maintenance Optimization for Intelligent Multistate Manufacturing Systems With Uncertain Maintenance Quality [J].
Chen, Zhaoxiang ;
He, Yihai ;
Zhao, Yixiao ;
Han, Xiao ;
Liu, Fengdi ;
Zhou, Di ;
Wang, Wenzhuo .
IEEE ACCESS, 2019, 7 :109804-109816
[8]   A new two-parameter lifetime distribution with bathtub shape or increasing failure rate function [J].
Chen, ZM .
STATISTICS & PROBABILITY LETTERS, 2000, 49 (02) :155-161
[9]  
Cheng ZJ, 2012, 2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE), P409, DOI 10.1109/ICQR2MSE.2012.6246264
[10]   Combining Modified Weibull Distribution Models for Power System Reliability Forecast [J].
Dong, Ming ;
Nassif, Alexandre B. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (02) :1610-1619
123