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城市轨道交通再生能馈装置维修的多目标优化

Multi-objective Optimization for Maintenance of Regenerative Energy Feedback Device of Urban Rail Transit
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摘要 城轨再生能馈装置代表了列车再生电能利用技术的发展方向,随着其不断得到推广应用,需要编排合理有效的维修计划,以确保城轨牵引供电系统可靠经济运行。本文采用GO-FLOW法建立城轨再生能馈装置的动态可靠性模型,以可靠性和维修费用为优化目标,进行了改进的多目标优化计算,与单目标优化结果对比表明,多目标优化方法在经济性和稳定性的综合优化方面具有优势。 The urban rail regenerative energy feedback device represents the development direction of train regenerative energy utilization technology.With its continuous promotion and application,it is necessary to arrange a reasonable and effective maintenance plan to ensure the reliable and economical operation of the urban rail traction power supply system.The paper established a dynamic reliability model for regenerative energy feedback device of urban rail transit by application of the GO-FLOW method,with reliability and maintenance costs as optimization objectives,carries out an improved multi-objective optimization calculation.The comparison with single objective optimization results shows that the multi-objective optimization method has advantages in comprehensive optimization in terms of economy and stability.
作者 刘琛 LIU Chen
出处 《电气化铁道》 2024年第1期75-78,共4页 Electric Railway
关键词 城轨再生能馈装置 维修计划 多目标优化 regenerative energy feedback device of urban rail transit maintenance plan multi-objective optimization
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