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基于CiteSpace的配电网韧性评估与提升研究综述与展望 被引量:1

Review and Prospect of Distribution Network Resilience Assessment and Improvement Based on CiteSpace
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摘要 为系统把握配电网韧性的理论脉络和发展趋势,采用CiteSpace的可视化分析,揭示配电网韧性研究领域的研究动向。研究发现,国内学者关注提高配电网可靠性、风险评估方法、电动汽车影响、电能质量保障、智能电网建设和储能技术提高等方向;国外学者还同时关注了需求响应、主动配电网和优化配置等,且研究重点逐渐从技术方法转向新兴技术和管理方法。通过关键词聚类分析,概括了国内配电网评估、规划与设计、供电可靠性、新能源并网等四大研究方向,以及国外的人工智能与智能电网、可再生能源、电力系统韧性和可靠性三大研究领域。最后对领域内高被引文献进行了分析,可为领域发展和问题解决提供重要启示。 This paper aims to reveal the research trends in the field of distribution network resilience research through CiteSpacebased visual analysis,and provide a reference for systematically grasping the theoretical context and development trends of distribution network resilience,as well as for subsequent related research.The study shows that domestic scholars pay attention to improving the reliability of distribution network,risk assessment methods,impact of electric vehicles,power quality assurance,smart grid construction and energy storage technology improvement.In addition to above-said issues,foreign scholars also pay attention to demand response,active distribution network and optimal configuration,etc.,and the research focus has gradually shifted from technical methods to emerging technologies and management methods.Through keywords clustering analysis,four major research directions,including domestic distribution network assessment,planning and design,power supply reliability and new energy grid integration,three major research fields,including foreign artificial intelligence and smart grid,renewable energy,power system resilience and reliability are reviewed.Finally,the highly cited literature in the field is analyzed,which can provide important inspiration for field development and problem solving.
作者 吴岩 王光政 WU Yan;WANG Guangzheng(School of Electrical Engineering,North China University of Water Resources and Hydropower,Zhengzhou 450045,China)
出处 《中国电力》 CSCD 北大核心 2023年第12期100-112,137,共14页 Electric Power
关键词 可视化分析 配电网韧性 配电网评估 电动汽车 智能电网 国际合作 visual analysis distribution network resilience distribution network assessment electric vehicles smart grid international cooperation
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