采用萤火虫算法的高速列车节能运行优化
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摘要
智能算法可以通过优化列车运行曲线达到节能降耗的目的.将列车运行能耗作为目标函数,以限速、时间和距离为约束条件,建立优化模型.以CRH_3型动车组和武广客运专线中某段线路为基础,进行仿真实验.运用萤火虫算法,搜索能耗最低时的一组列车工况转换速度序列.仿真结果表明:列车运行能耗指标降低14.33%,且满足停车精确性与准时到站的要求.
Intelligent algorithms can be used to optimize train operation curve to achieve energy saving and consumption reduction. Train consumption was taken as the objective function, and the optimization model was established with the speed limit, time and distance as the constraints. The simulation experiment was carried out based on the CRH_3 electric multiple units running on a certain train line from the Wuhan to Guangzhou stations. The firefly algorithm was used to search for a set of train operating speed conversion sequences with the lowest energy consumption. The simulation results showed that the energy consumption index of the train was reduced by 14.33%, and the parking accuracy and on-time arrival requirements were met.
Intelligent algorithms can be used to optimize train operation curve to achieve energy saving and consumption reduction. Train consumption was taken as the objective function, and the optimization model was established with the speed limit, time and distance as the constraints. The simulation experiment was carried out based on the CRH_3 electric multiple units running on a certain train line from the Wuhan to Guangzhou stations. The firefly algorithm was used to search for a set of train operating speed conversion sequences with the lowest energy consumption. The simulation results showed that the energy consumption index of the train was reduced by 14.33%, and the parking accuracy and on-time arrival requirements were met.
引文
[1] HOANG H H,POLIS M,HAURIE A.Reducing energy consumption through trajectory optimization for a metro network[J].IEEE Transactions on Automatic Control,1975,20(5):590-595.DOI:10.1109/TAC.1975.1101058.
[2] CHANG C S,SIM S S.Optimizing train movements through coast control using genetic algorithms[J].Electric Power Application,1997,144(1):65-73.DOI:10.1049/ip-epa:19970797.
[3] KO H,KOSEKI T,MIYATAKE M.Application of dynamic programming to optimization of running profile of a train[J].Computer in Railways,2004,45(3):8.DOI:10.1007/BF02252938.
[4] 付印平.列车追踪运行与节能优化建模及模拟研究[D].北京:北京交通大学,2009.
[5] 李玲玉.基于粒子群算法的城市轨道交通列车节能优化研究[D].北京:北京交通大学,2016.
[6] 刘建强,魏远乐,胡辉.高速列车节能运行优化控制方法研究[J].铁道学报,2014,36(10):8-11.DOI:10.3969/j.issn.1001-8360.2014.10.002.
[7] 宿帅,唐涛.城市轨道交通ATO的节能优化研究[J].铁道学报,2014,36(12):51-53.DOI:10.3969/j.issn.1001-8360.2014.12.009.
[8] 荀径,杨欣,宁滨.列车节能操纵优化求解方法综述[J].铁道学报,2014,36(4):15-17.DOI:10.3969/j.issn.1001-8360.2014.04.003.
[9] 宋文婷,谭觅,蔡文川.高速列车的节能操纵策略研究[J].铁道科学与工程学报,2016,13(3):424-427.DOI:10.3969/j.issn.1672-7029.2016.03.003.
[10] 唐涛,荀径,曹芳.北京地铁亦庄线列车节能驾驶研究[J].北京交通大学学报,2016,40(4):20-23.DOI:10.11860/j.issn.1673-0291.2016.04.003.
[11] ZHU Aihong,MA Xiaona,DUAN Yuqiong,et al.Operation optimization of train based on firefly algorithm[C]//4th Information Technology and Mechatronics Engineering Conference.Chongqing:IEEE Press,2018:1624-1628.
[12] 王合良,贺德强,莫志刚.基于改进 QPSO算法的地铁列车节能优化操纵研究[J].广西大学学报,2016,41(5):1395-1397.DOI:10.13624/j.cnki.issn.1001-7445.2016.1394.
[13] 曹佳峰,刘斌.基于2阶段优化的高速列车节能运行仿真研究[J].铁道科学与工程学报,2018,15(4):822-824.DOI:10.3969/j.issn.1672-7029.2018.04.001.
[14] 王德春,李克平,李想.多目标列车节能调度模型及模糊优化算法[J].科学技术与工程,2012,12(12):2869-2873.DOI:10.3969/j.issn.1671-1815.2012.12.022.
[15] 卢启衡,冯晓云,王青元.基于遗传算法的追踪列车节能优化[J].西南交通大学学报,2012,47(2):266-268.DOI:10.3969/j.issn.0258-2724.2012.02.016.
[2] CHANG C S,SIM S S.Optimizing train movements through coast control using genetic algorithms[J].Electric Power Application,1997,144(1):65-73.DOI:10.1049/ip-epa:19970797.
[3] KO H,KOSEKI T,MIYATAKE M.Application of dynamic programming to optimization of running profile of a train[J].Computer in Railways,2004,45(3):8.DOI:10.1007/BF02252938.
[4] 付印平.列车追踪运行与节能优化建模及模拟研究[D].北京:北京交通大学,2009.
[5] 李玲玉.基于粒子群算法的城市轨道交通列车节能优化研究[D].北京:北京交通大学,2016.
[6] 刘建强,魏远乐,胡辉.高速列车节能运行优化控制方法研究[J].铁道学报,2014,36(10):8-11.DOI:10.3969/j.issn.1001-8360.2014.10.002.
[7] 宿帅,唐涛.城市轨道交通ATO的节能优化研究[J].铁道学报,2014,36(12):51-53.DOI:10.3969/j.issn.1001-8360.2014.12.009.
[8] 荀径,杨欣,宁滨.列车节能操纵优化求解方法综述[J].铁道学报,2014,36(4):15-17.DOI:10.3969/j.issn.1001-8360.2014.04.003.
[9] 宋文婷,谭觅,蔡文川.高速列车的节能操纵策略研究[J].铁道科学与工程学报,2016,13(3):424-427.DOI:10.3969/j.issn.1672-7029.2016.03.003.
[10] 唐涛,荀径,曹芳.北京地铁亦庄线列车节能驾驶研究[J].北京交通大学学报,2016,40(4):20-23.DOI:10.11860/j.issn.1673-0291.2016.04.003.
[11] ZHU Aihong,MA Xiaona,DUAN Yuqiong,et al.Operation optimization of train based on firefly algorithm[C]//4th Information Technology and Mechatronics Engineering Conference.Chongqing:IEEE Press,2018:1624-1628.
[12] 王合良,贺德强,莫志刚.基于改进 QPSO算法的地铁列车节能优化操纵研究[J].广西大学学报,2016,41(5):1395-1397.DOI:10.13624/j.cnki.issn.1001-7445.2016.1394.
[13] 曹佳峰,刘斌.基于2阶段优化的高速列车节能运行仿真研究[J].铁道科学与工程学报,2018,15(4):822-824.DOI:10.3969/j.issn.1672-7029.2018.04.001.
[14] 王德春,李克平,李想.多目标列车节能调度模型及模糊优化算法[J].科学技术与工程,2012,12(12):2869-2873.DOI:10.3969/j.issn.1671-1815.2012.12.022.
[15] 卢启衡,冯晓云,王青元.基于遗传算法的追踪列车节能优化[J].西南交通大学学报,2012,47(2):266-268.DOI:10.3969/j.issn.0258-2724.2012.02.016.