Integrated green smart grids for high-speed rail transit systems

Q2 Energy
Nisha Prasad, Mahipal Bukya
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引用次数: 0

Abstract

The integration of green technologies in smart grids is changing the concept of global energy systems. It is not only improving energy efficiency and reducing carbon footprints but also enhancing grid sustainability. They include integrated renewable energy resources (RES), such as wind and solar, distributed energy resources (DER), and functionalities such as energy storage (EST), optimization using artificial intelligence (AI), smart metering, and load management. Adoption of these technologies not only changes the global supply system but also affects the operation of high-speed railways (HSR) massively. Fast adoption of smart technologies raises an alarming concern of cyber security in HSR systems. In view of increasing energy demands and specific operational constraints of HSR systems, this paper provides a comprehensive review of these green technologies and their applicability. It examines the implementation of these technologies, highlighting their role in enhancing the resilience and sustainability of HSR supply systems. Furthermore, the review explores the key technical challenges associated with integration, such as RES intermittency and cybersecurity vulnerabilities specific to rail infrastructure. This review synthesizes key developments and practical applications in the rail sector. This paper provides a valuable resource for researchers interested in developing cleaner and resilient transport systems.

高速轨道交通一体化绿色智能电网
智能电网中绿色技术的整合正在改变全球能源系统的概念。它不仅提高了能源效率,减少了碳足迹,还增强了电网的可持续性。它们包括风能和太阳能等综合可再生能源(RES),分布式能源(DER)以及能源存储(EST)等功能,使用人工智能(AI)进行优化,智能计量和负载管理。这些技术的采用不仅改变了全球供应体系,也极大地影响了高速铁路(HSR)的运营。智能技术的快速采用引发了对高铁系统网络安全的担忧。鉴于高铁系统不断增长的能源需求和特定的运行约束,本文对这些绿色技术及其适用性进行了全面的综述。报告审查了这些技术的实施情况,强调了它们在增强高铁供应系统的韧性和可持续性方面的作用。此外,该评估还探讨了与集成相关的关键技术挑战,例如铁路基础设施特有的可再生能源间歇性和网络安全漏洞。本综述综合了铁路部门的主要发展和实际应用。本文为研究开发更清洁、更有弹性的交通系统的研究人员提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy Informatics
Energy Informatics Computer Science-Computer Networks and Communications
CiteScore
5.50
自引率
0.00%
发文量
34
审稿时长
5 weeks
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