基于免疫粒子群算法的地铁列车节能优化研究  

Research on Energy Saving Optimization of Metro Train Based on Immuneparticle Swarm Optimization Algorithm

作　　者：谭文举 贺德强[2] 王合良[2] 

机构地区：[1]南宁轨道交通集团有限责任公司,广西南宁530021 [2]广西大学机械工程学院,广西南宁530004

出　　处：《机车电传动》2017年第2期93-95,105,共4页Electric Drive for Locomotives

基　　金：国家自然科学基金资助项目(51165001);南宁市科技攻关项目(20151021);广西制造系统与先进制造技术重点实验室课题(15-140-30S003)

摘　　要：在综合考虑地铁列车动力学特性、线路条件、区间限速以及准点运行等条件的基础上,建立基于再生制动能量利用的多约束能耗模型。通过免疫粒子群组合算法求解列车能耗模型,得到列车节能操纵工况序列及各工况转换点,最终求得列车站间运行的最低能耗。为验证该方法的有效性,以南宁地铁1号线为仿真实例,计算得出优化后的列车能耗降低6.62%。With full consideration of metro train dynamic characteristics, line conditions, speed limit in the interval, punctuality and so on, the multi-constraints energy consumption model based on utilization of regenerative braking energy was established according to the modem optimal control theory. Then the model of train energy consumption was solved by means of immuneparticle swarm optimization algorithm, the energy saving operation conditions and the switching points were obtained. Finally, the minimum energy consumption of train at the station was obtained. In order to verify the effectiveness of the method, the Nanning metro line 1 was simulated as an example, and the energy consumption was reduced bv 6.62% after optimization.

关 键 词：能耗模型 免疫粒子群 节能优化 优化操纵 地铁列车 

分 类 号：U231.92[交通运输工程—道路与铁道工程] U292.4