基于CiteSpace的配电网韧性评估与提升研究综述与展望

doi:10.11930/j.issn.1004-9649.202306119

摘要/Abstract

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。

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

Abstract:

This paper aims to reveal the research trends in the field of distribution network resilience research through CiteSpace-based 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.

Key words: visual analysis, distribution network resilience, distribution network assessment, electric vehicles, smart grid, international cooperation

吴岩, 王光政. 基于CiteSpace的配电网韧性评估与提升研究综述与展望[J]. 中国电力, 2023, 56(12): 100-112, 137.

Yan WU, Guangzheng WANG. Review and Prospect of Distribution Network Resilience Assessment and Improvement Based on CiteSpace[J]. Electric Power, 2023, 56(12): 100-112, 137.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202306119

https://www.electricpower.com.cn/CN/Y2023/V56/I12/100

图/表 9

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序号	类别	所属聚类	关键词
1	配电网评估	#2风险评估、#4大数据、 #5指标体系、#10状态评估	需求响应、电压偏差、状态评价、状态检修、评价指标、故障定位、遗传算法、故障恢复、熵权法、综合评价、云模型、德尔菲法、投资决策、评价体系、智能电网、模型、数据挖掘
2	配电网规划与设计	#8规划、#9目标网架	管理、网格化、效益评估、网格化、负荷预测、配网、农网、电网规划
3	供电可靠性	#0可靠性、#1配电网、 #6供电服务、#7电能质量	微电网、优化配置、不确定性、提升策略、接线模式、孤岛、经济性、供电恢复、韧性、健康指数、薄弱环节、农村电网、故障抢修、电压质量、评估方法、综合评估、电压暂降
4	新能源并网	#3电动汽车	供电能力、接纳能力、光伏发电、配电系统、微网、储能、优化调度、概率潮流、网络重构

序号	类别	所属聚类	关键词
1	配电网评估	#2风险评估、#4大数据、 #5指标体系、#10状态评估	需求响应、电压偏差、状态评价、状态检修、评价指标、故障定位、遗传算法、故障恢复、熵权法、综合评价、云模型、德尔菲法、投资决策、评价体系、智能电网、模型、数据挖掘
2	配电网规划与设计	#8规划、#9目标网架	管理、网格化、效益评估、网格化、负荷预测、配网、农网、电网规划
3	供电可靠性	#0可靠性、#1配电网、 #6供电服务、#7电能质量	微电网、优化配置、不确定性、提升策略、接线模式、孤岛、经济性、供电恢复、韧性、健康指数、薄弱环节、农村电网、故障抢修、电压质量、评估方法、综合评估、电压暂降
4	新能源并网	#3电动汽车	供电能力、接纳能力、光伏发电、配电系统、微网、储能、优化调度、概率潮流、网络重构

序号	类别	所属聚类	关键词
1	人工智能与智能电网	#0 deep learning（深度学习）、 #7 smart grid（智能电网）	system; neural network; prediction; classification; machine learning; power distribution faults; energy storage; distributed energy resources; active distribution network
2	可再生能源	#1 renewable energy（可再生能源）、#6 power quality（电能质量）	distributed generation; energy management; hosting capacity; smart grids; electric vehicle; storage; monte carlo simulation; power system reliability; high penetration; simulation; control strategy; voltage control; networked microgrids
3	电力系统韧性和可靠性	#2 resilience（韧性）、#3 demand response（需求响应）、#4 distribution system（配电系统）、#5 distribution networks（配电网络）	framework; dispatch; stochastic processes; service restoration; microgrids; load modeling; extreme; restoration; load restoration; management; generation; reliability evaluation; model; active distribution networks; optimal power flow; electric vehicles; uncertainty; power system stability; loss reduction; reliability; risk assessment; loss reduction; particle swarm optimization; network reconfiguration; optimal allocation; wind power; distributed power generation; optimal placement; genetic algorithm; integration; algorithm; optimization; allocation; reconfiguration; penetration

序号	类别	所属聚类	关键词
1	人工智能与智能电网	#0 deep learning（深度学习）、 #7 smart grid（智能电网）	system; neural network; prediction; classification; machine learning; power distribution faults; energy storage; distributed energy resources; active distribution network
2	可再生能源	#1 renewable energy（可再生能源）、#6 power quality（电能质量）	distributed generation; energy management; hosting capacity; smart grids; electric vehicle; storage; monte carlo simulation; power system reliability; high penetration; simulation; control strategy; voltage control; networked microgrids
3	电力系统韧性和可靠性	#2 resilience（韧性）、#3 demand response（需求响应）、#4 distribution system（配电系统）、#5 distribution networks（配电网络）	framework; dispatch; stochastic processes; service restoration; microgrids; load modeling; extreme; restoration; load restoration; management; generation; reliability evaluation; model; active distribution networks; optimal power flow; electric vehicles; uncertainty; power system stability; loss reduction; reliability; risk assessment; loss reduction; particle swarm optimization; network reconfiguration; optimal allocation; wind power; distributed power generation; optimal placement; genetic algorithm; integration; algorithm; optimization; allocation; reconfiguration; penetration

国家	频次	中介中心性	年份
美国	383	0.22	2013
英国	158	0.15	2013
法国	42	0.12	2014
伊朗	261	0.11	2013
西班牙	95	0.10	2013
埃及	72	0.09	2015
德国	58	0.09	2014
印度	236	0.09	2013
意大利	137	0.09	2013
澳大利亚	158	0.08	2013
中国	655	0.08	2013