发表机构
KTH Royal Institute of Technology; Zhejiang University（皇家理工学院; 浙江大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本综述系统梳理电气化铁路在列车动态调度、能源管理及储能集成方面的优化进展，强调降低能耗、提升性能，并展望智能铁路系统的发展方向。
AI 中文摘要
铁路系统的现代化正受到对更高效率、可持续性和智能运营需求的驱动。本综述分析了电气化铁路网络中动态调度、能源管理以及储能系统（ESSs）集成方面的最新进展。综述了列车调度和运行控制的优化策略，重点关注降低能耗和提升系统整体性能的方法。从能源管理、削峰填谷以及电压和频率控制的实际应用角度，分析了储能技术的作用。同时，还综述了人工智能和先进控制策略在电气化铁路系统中的集成。本综述全面概述了当前研究趋势，并指出了未来开发具有储能系统集成的韧性、节能和智能铁路系统的发展方向。
英文摘要
The modernization of railway systems is being driven by the need for greater efficiency, sustainability, and intelligent operation. In this review, recent advancements in dynamic scheduling, energy management, and energy storage systems (ESSs) integration within electric railway networks are analyzed. Optimization strategies for train scheduling and operation control are reviewed, with a focus on methods that reduce energy consumption and improve overall system performance. The role of energy storage technologies is analyzed in terms of energy management, peak shaving, and voltage and frequency control for practical application. The integration of artificial intelligence and advanced control strategies is also reviewed in electrified railway systems. This review provides a comprehensive overview of current research trends and outlines future directions for the development of resilient, energy efficient, and intelligent railway systems with ESSs integration.
