{"title":"双向变流器变电站地铁列车节能控制优化","authors":"Chengcheng Fu, Pengfei Sun, Qingyuan Wang, Xiaoyun Feng","doi":"10.1049/itr2.70065","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":50381,"journal":{"name":"IET Intelligent Transport Systems","volume":"19 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70065","citationCount":"0","resultStr":"{\"title\":\"Energy-Efficient Control Optimization of Subway Train with Bidirectional Converter Substations\",\"authors\":\"Chengcheng Fu, Pengfei Sun, Qingyuan Wang, Xiaoyun Feng\",\"doi\":\"10.1049/itr2.70065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":50381,\"journal\":{\"name\":\"IET Intelligent Transport Systems\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/itr2.70065\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Intelligent Transport Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1049/itr2.70065\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Intelligent Transport Systems","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/itr2.70065","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Energy-Efficient Control Optimization of Subway Train with Bidirectional Converter Substations
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.
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