电力系统保护与控制Issue(11)：87-94,8.
基于改进粒子群算法的牵引变电所维修优化研究
An improved particle swarm algorithm study on optimization model of maintenance schedules for railway traction substations
摘要
Abstract
A reasonable maintenance schedule for railway traction substations is an important part of railway electric transports. It should take the reliability and the maintenance costs of the system into account. The fault tree analysis is applied to qualitative analysis and the GO method is used to quantitative analysis. Formula derivation of the railway substations’ reliability is got. Simulating the model through the survey data from the literature and improving the periodic maintenance means, establishing an optimized maintenance model of the railway traction substations based on reliability and the cost. Through two aspects of single equipment reliability or overall reliability, the model is solved with improved particle swarm algorithm. The result indicates that the model is objective and effective, that the model can reflect that the reliability of the system is higher, the maintenance costs are higher. And the minimum reliability of the system can be selected according to different maintenance cost.关键词
牵引变电所/可靠性/周期性维修/粒子群算法/维修优化Key words
railway traction substations/reliability/periodic maintenance/particle swarm algorithm/maintenance optimization分类
信息技术与安全科学引用本文复制引用
刘欢,刘志刚..基于改进粒子群算法的牵引变电所维修优化研究[J].电力系统保护与控制,2015,(11):87-94,8.基金项目
国家自然科学基金(U1134205,51377136)；铁道部科技研究开发计划(2013J010-B) This work is supported by National Natural Science Foundation of China (No. U1134205 and No.51377136) （U1134205,51377136）
