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复杂工况条件下地铁多列车优化操纵综合节能控制方法及实现

Optimal Comprehensive Energy-Saving Operation Control Method for Multiple Trains Under Complex Working Conditions and Its Implementation
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摘要 为构建由弯道、坡道混合组成的复杂工况下的地铁多列车协同调度的能量回收模型、列车调度时刻表模型,进而研究多列车协同利用制动能量及行车调度综合节能控制方法,提出了一种矩阵离散算法,该方法将列车时刻表、运营工况、线路信息、制动点位等参数进行分解、离散并编码,最后构建列车优化操纵控制与能量回收模型。通过调研国内地铁再生能量装置应用现状,系统分析了不同再生能量回收装置应用的优势与不足,进一步以车站运营实际轨道线路为对象,搭建复杂工况多列车优化操纵综合节能矩阵控制模型。以此为基础,建立多列车节能优化操纵节能控制指导系统,并将车站运营数据与指导系统数据进行对比分析。结果表明,该方法可有效构建复杂工况条件下的多列车协同利用再生能量优化操纵模型,提升再生能量利用效率。 In order to construct the energy recovery model and timetable model of subway multi-train cooperative scheduling under complex working conditions composed of curves and ramps and study the multi-train cooperative utilization of braking energy and comprehensive energy-saving control method of train scheduling,a matrix discrete algorithm was proposed.This method could decompose,discrete,and code the parameters such as train timetable,operating conditions,line information,and braking points,and then the optimal train operation control and energy recovery model was constructed.By investigating the application status of subway renewable energy devices in China,this paper systematically analyzed the advantages and disadvantages of different renewable energy recovery devices.Further,taking the actual track line of station operation as the object,a comprehensive energy-saving matrix control model for multi-train optimal operation under complex working conditions was established.On this basis,the energy-saving control guidance system for the optimal multi-train energy-saving operation was established,and the station operation data were compared with the guidance system data.The results show that this method can effectively construct the optimal operation model of multi-train cooperative utilization of renewable energy under complex working conditions and improve the utilization efficiency of renewable energy.
作者 周继续 郑安平 贺德强 邓举明 庞明潇 ZHOU Jixu;ZHENG Anping;HE Deqiang;DENG Juming;PANG Mingxiao(Engineering Department,Institute of Oceanology Chinese Academy of Sciences,Qingdao 266071,Shandong,China;Vehicle Maintenance Department,Qingdao Metro Operation Co.,Ltd.,Qingdao 266041,Shandong,China;College of Mechanical Engineering,Guangxi University,Nanning 530004,Guangxi,China)
出处 《铁道运输与经济》 北大核心 2023年第9期147-153,共7页 Railway Transport and Economy
基金 山东省自然科学基金项目(ZR2020QF056) 国家自然科学基金项目(51765006)。
关键词 地铁 再生制动 能量模型 矩阵离散法 节能控制 Subway Regenerative Braking Energy Model Matrix Discrete Method Energy-Saving Control
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