Electric Power ›› 2023, Vol. 56 ›› Issue (12): 100-112, 137.DOI: 10.11930/j.issn.1004-9649.202306119
• Key Technologies for Improving the Resilience of Power Systems • Previous Articles Next Articles
Received:2023-06-29
															
							
															
							
																	Accepted:2023-09-27
															
							
																	Online:2023-12-23
															
							
							
																	Published:2023-12-28
															
							
						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.
| 关键词 | 频次 | 中介中心性 | 年份 | |||
| 可靠性 | 183 | 0.08 | 2013 | |||
| 风险评估 | 98 | 0.45 | 2013 | |||
| 指标体系 | 79 | 0.04 | 2013 | |||
| 电动汽车 | 60 | 0.17 | 2013 | |||
| 供电能力 | 55 | 0.07 | 2013 | |||
| 大数据 | 51 | 0.05 | 2015 | |||
| 电能质量 | 47 | 0.01 | 2013 | |||
| 熵权法 | 36 | 0.07 | 2013 | |||
| 智能电网 | 18 | 0.08 | 2013 | |||
| 储能 | 17 | 0.26 | 2013 | |||
| 模型 | 12 | 0.20 | 2013 | |||
| AHP法 | 3 | 0.11 | 2013 | 
Table 1 Domestic keywords co-occurrence details
| 关键词 | 频次 | 中介中心性 | 年份 | |||
| 可靠性 | 183 | 0.08 | 2013 | |||
| 风险评估 | 98 | 0.45 | 2013 | |||
| 指标体系 | 79 | 0.04 | 2013 | |||
| 电动汽车 | 60 | 0.17 | 2013 | |||
| 供电能力 | 55 | 0.07 | 2013 | |||
| 大数据 | 51 | 0.05 | 2015 | |||
| 电能质量 | 47 | 0.01 | 2013 | |||
| 熵权法 | 36 | 0.07 | 2013 | |||
| 智能电网 | 18 | 0.08 | 2013 | |||
| 储能 | 17 | 0.26 | 2013 | |||
| 模型 | 12 | 0.20 | 2013 | |||
| AHP法 | 3 | 0.11 | 2013 | 
| 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 | 
Table 2 Research orientation of domestic distribution network resilience assessment and improvement
| 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 | 
| 关键词 | 频次 | 中介中心性 | 年份 | |||
| optimal power flow | 51 | 0.31 | 2013 | |||
| prediction | 42 | 0.19 | 2014 | |||
| demand side management | 22 | 0.15 | 2015 | |||
| monte carlo methods | 28 | 0.15 | 2013 | |||
| genetic algorithms | 4 | 0.12 | 2013 | |||
| smart power grids | 7 | 0.12 | 2015 | |||
| optimal placement | 70 | 0.12 | 2014 | |||
| artificial neural networks | 19 | 0.11 | 2013 | |||
| power system stability | 36 | 0.11 | 2019 | |||
| electric vehicle | 46 | 0.11 | 2017 | |||
| active distribution networks | 71 | 0.11 | 2015 | |||
| demand response | 100 | 0.11 | 2013 | |||
| hierarchical control | 15 | 0.10 | 2016 | |||
| neural network | 37 | 0.10 | 2014 | |||
| reliability evaluation | 51 | 0.10 | 2013 | 
Table 3 Foreign keywords co-occurrence details
| 关键词 | 频次 | 中介中心性 | 年份 | |||
| optimal power flow | 51 | 0.31 | 2013 | |||
| prediction | 42 | 0.19 | 2014 | |||
| demand side management | 22 | 0.15 | 2015 | |||
| monte carlo methods | 28 | 0.15 | 2013 | |||
| genetic algorithms | 4 | 0.12 | 2013 | |||
| smart power grids | 7 | 0.12 | 2015 | |||
| optimal placement | 70 | 0.12 | 2014 | |||
| artificial neural networks | 19 | 0.11 | 2013 | |||
| power system stability | 36 | 0.11 | 2019 | |||
| electric vehicle | 46 | 0.11 | 2017 | |||
| active distribution networks | 71 | 0.11 | 2015 | |||
| demand response | 100 | 0.11 | 2013 | |||
| hierarchical control | 15 | 0.10 | 2016 | |||
| neural network | 37 | 0.10 | 2014 | |||
| reliability evaluation | 51 | 0.10 | 2013 | 
| 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 | 
Table 4 Research orientation of resilience assessment and improvement of foreign distribution networks
| 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 | 
Table 5 National cooperation network node details
| 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 | 
| 文献 | 年份 | 强度 | 起止年限(2013—2023年) | |||
| [ |  2010 | 7.56 |   |  |||
| [ |  2011 | 6.62 |   |  |||
| [ |  2013 | 11.36 |   |  |||
| [ |  2015 | 7.89 |   |  |||
| [ |  2015 | 12.06 |   |  |||
| [ |  2014 | 10.34 |   |  |||
| [ |  2015 | 8.85 |   |  |||
| [ |  2015 | 9.42 |   |  |||
| [ |  2016 | 9.16 |   |  |||
| [ |  2014 | 7.44 |   |  |||
| [ |  2015 | 6.91 |   |  |||
| [ |  2015 | 6.61 |   |  |||
| [ |  2014 | 6.38 |   |  |||
| [ |  2015 | 6.26 |   |  |||
| [ |  2016 | 6.46 |   |  
Table 6 Co-cited literature analysis
| 文献 | 年份 | 强度 | 起止年限(2013—2023年) | |||
| [ |  2010 | 7.56 |   |  |||
| [ |  2011 | 6.62 |   |  |||
| [ |  2013 | 11.36 |   |  |||
| [ |  2015 | 7.89 |   |  |||
| [ |  2015 | 12.06 |   |  |||
| [ |  2014 | 10.34 |   |  |||
| [ |  2015 | 8.85 |   |  |||
| [ |  2015 | 9.42 |   |  |||
| [ |  2016 | 9.16 |   |  |||
| [ |  2014 | 7.44 |   |  |||
| [ |  2015 | 6.91 |   |  |||
| [ |  2015 | 6.61 |   |  |||
| [ |  2014 | 6.38 |   |  |||
| [ |  2015 | 6.26 |   |  |||
| [ |  2016 | 6.46 |   |  
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