Energy-Efficient Control Optimization of Subway Train with Bidirectional Converter Substations

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Chengcheng Fu, Pengfei Sun, Qingyuan Wang, Xiaoyun Feng
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Abstract

The energy consumption of the subway has attracted much attention. Applying bidirectional converter substations (BCS) and researching energy-efficient train control (EETC) strategies can effectively reduce the energy consumption of the subway system. This paper analyzes the coupling model of power supply-train operation with rectifier substations (RS) and BCS. To minimize the energy consumption of substations, an optimal control problem model of EETC is established, and a multi-stage dynamic programming algorithm with state space reduction is designed to solve the train energy-saving speed profile. The EETC results of different line conditions with RS and BCS are presented. The results indicate that the EETC changes with the type of substations, where trains with BCS adopt regenerative braking conditions matched with the inverter turn-on voltage to feed back energy. The relationship between train running time and energy consumption is analyzed, showing that EETC with BCS has superior energy-saving effects and operational efficiency to EETC with RS. Results demonstrate the effectiveness and energy-saving effects of the optimization methods presented in this paper.

Abstract Image

双向变流器变电站地铁列车节能控制优化
地铁的能耗问题引起了人们的广泛关注。采用双向变流器变电站(BCS)和研究节能列车控制(EETC)策略可以有效地降低地铁系统的能耗。本文分析了整流变电站与BCS的供电列车运行耦合模型。以变电站能耗最小为目标,建立了电动势最优控制问题模型,设计了一种状态空间约简的多阶段动态规划算法求解列车节能速度剖面。给出了RS和BCS在不同线路条件下的EETC结果。结果表明,电阻抗随变电所类型的不同而变化,采用与逆变器导通电压相匹配的再生制动工况来反馈能量。分析了列车运行时间与能耗之间的关系,结果表明,采用BCS的EETC在节能效果和运行效率方面优于采用RS的EETC,结果验证了本文提出的优化方法的有效性和节能效果。
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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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