华南理工大学学报(自然科学版) ›› 2009, Vol. 37 ›› Issue (11): 100-106.

• 动力与电气工程 • 上一篇    下一篇

牵引供电系统维修计划的优化与仿真

陈民武 李群湛 解绍锋   

  1. 西南交通大学 电气工程学院, 四川 成都 610031
  • 收稿日期:2008-12-30 修回日期:2009-03-23 出版日期:2009-11-25 发布日期:2009-11-25
  • 通信作者: 陈民武(1983-),男,博士,主要从事牵引供电系统优化设计研究. E-mail:cmw_015@163.com
  • 作者简介:陈民武(1983-),男,博士,主要从事牵引供电系统优化设计研究.
  • 基金资助:

    “十一五”国家科技支撑计划项目(2007BAA12805);铁道部科技研究开发计划重大课题(Z2006-047);铁道部科技研究开发计划重点课题(2007J035)

Optimization and Simulation of Maintenance Plan of Traction Power Supply Systems

Chen Min-wu  Li Qun-zhan  Xie Shao-feng   

  1.  School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
  • Received:2008-12-30 Revised:2009-03-23 Online:2009-11-25 Published:2009-11-25
  • Contact: 陈民武(1983-),男,博士,主要从事牵引供电系统优化设计研究. E-mail:cmw_015@163.com
  • About author:陈民武(1983-),男,博士,主要从事牵引供电系统优化设计研究.
  • Supported by:

    “十一五”国家科技支撑计划项目(2007BAA12805);铁道部科技研究开发计划重大课题(Z2006-047);铁道部科技研究开发计划重点课题(2007J035)

摘要: 牵引供电系统维修计划的制定需要兼顾运行的可靠性和维修的经济性.文中应用一种可靠性分析方法——GO法对某高速铁路牵引供电系统的可靠性进行了分析,推导了系统可靠度的定量计算公式.考虑到牵引供电系统众多电气设备之间维修的经济相关性和预防性维修的不完备性,建立了以系统可靠度为约束条件、维修费用最小为优化目标的有限时间区间牵引供电系统维修计划优化模型;基于一种改进的离散粒子群算法设计了仿真程序,算法具有良好的收敛性.仿真结果表明,模型是客观有效的,可以应用于牵引供电系统维修计划的制定.

关键词: 牵引供电系统, GO法, 可靠性分析, 维修计划, 优化, 仿真

Abstract:

The maintenance scheduling of a traction power supply system should give consideration to both system reliability and maintenance economy. In this paper, the method to analyze system reliability, namely GO methodology, is applied to the reliability assessment of the traction power supply system of a high-speed railway, and a quantitative calculation equation of system reliability is deduced. Then, by considering the economic dependency among the maintenance of various electrical equipments and the imperfectness of preventive maintenance, an optimal model of maintenance plan to satisfy the reliability constraints is proposed to minimize the maintenance cost in a finite time interval. The corresponding simulation program with good convergence is also presented based on an improved discrete particle swarm optimization algorithm. Simulated results indicate that the proposed model is objective and effective and is suitable for scheduling the maintenance plan of traction power supply svstems.

Key words: traction power supply system, GO methodology, reliability analysis, maintenance plan, optimization, simulation