Annotated Survey on the Research Progress within Vehicle-to-Grid Techniques Based on CiteSpace Statistical Result

IF 2.6 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Ruifeng Shi, Shuaikang Peng, Tai Chang, Kwang Y. Lee
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引用次数: 0

Abstract

Vehicle-to-grid (V2G) technology has received a lot of attention as a smart interconnection solution between electric vehicles and the grid. This paper analyzes the relevant research progress and hotpots of V2G by using CiteSpace 6.1.R6 software to construct a visualization graph, which includes keyword co-occurrence, clustering, and burstiness, and further systematically summarizes the main trends and key results of V2G research. First, the connection between electric vehicles and the grid is outlined and the potential advantages of V2G technology are emphasized, such as energy management, load balancing, and environmental sustainability. The important topics of V2G, including renewable energy consumption, power dispatch, regulation and optimization of the grid, and the smart grid, are discussed. This paper also emphasizes the positive impacts of V2G technologies on the grid, including reduced carbon emissions, improved grid reliability, and the support for renewable energy integration. Current and future challenges for V2G research, such as standardization, policy support, and business models, are also considered. This review provides a comprehensive perspective for scholars and practitioners in V2G research and contributes to a better understanding of the current status and future trends of V2G technology.
基于CiteSpace统计结果的车辆到网格技术研究进展述评
汽车到电网(V2G)技术作为电动汽车与电网之间的智能互联解决方案受到了广泛关注。本文利用CiteSpace 6.1分析了V2G的相关研究进展和热点。R6软件构建了包含关键词共现、聚类和突发性的可视化图形,进一步系统总结了V2G研究的主要趋势和关键成果。首先,概述了电动汽车与电网之间的连接,并强调了V2G技术的潜在优势,如能源管理、负载平衡和环境可持续性。讨论了可再生能源消纳、电力调度、电网调控与优化、智能电网等V2G的重要课题。本文还强调了V2G技术对电网的积极影响,包括减少碳排放、提高电网可靠性和支持可再生能源整合。本文还考虑了V2G研究当前和未来面临的挑战,如标准化、政策支持和商业模式。本文综述为V2G研究的学者和实践者提供了一个全面的视角,有助于更好地了解V2G技术的现状和未来趋势。
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
World Electric Vehicle Journal
World Electric Vehicle Journal Engineering-Automotive Engineering
CiteScore
4.50
自引率
8.70%
发文量
196
审稿时长
8 weeks
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