| 引用本文: | 谢李为,李 勇,罗隆福,曾祥君,曹一家.基于复杂网络与运行因素的电网薄弱点辨识方法[J].电力系统保护与控制,2022,50(4):83-92.[点击复制] |
| XIE Liwei,LI Yong,LUO Longfu,ZENG Xiangjun,CAO Yijia.A vulnerable points identification method based on complex network theory and an operation index[J].Power System Protection and Control,2022,50(4):83-92[点击复制] |
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| 摘要: |
| 针对电网薄弱点辨识方法中存在未计及节点局部和整体特性、节点间功率传输的相互影响和对节点电压约束考虑不足的问题，提出一种基于复杂网络与运行因素的薄弱点辨识方法。通过考虑电力系统的拓扑、线路参数、潮流特性和运行参数等因素，建立了基于拉普拉斯矩阵谱半径的节点重要度指标、节点介数指标和电压越限指标。然后，采用组合赋权法对复杂网络指标和运行指标进行权重分配，得到辨识电网薄弱点的组合指标。最后，利用IEEE30和IEEE118节点系统验证所提方法的可行性和合理性。结果表明该方法辨识结果比现有方法更准确、合理，对电力系统的影响更大。 |
| 关键词: 薄弱点辨识 复杂网络 谱半径 节点介数 电压越限 |
| DOI：DOI: 10.19783/j.cnki.pspc.210390 |
| 投稿时间：2021-04-11修订日期：2021-06-24 |
| 基金项目:国家重点研发计划政府间国际科技创新合作重点项目(2018YFE0125300)；国家自然科学基金项目(520611 30217)；湖湘高层次人才聚集工程项目(2019RS1016)；长沙市杰出创新青年计划(KQ2009037) |
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| A vulnerable points identification method based on complex network theory and an operation index |
| XIE Liwei,LI Yong,LUO Longfu,ZENG Xiangjun,CAO Yijia |
| (1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; 2. College of Electrical
and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China) |
| Abstract: |
| There are shortcomings in the existing vulnerable points identification method for a power system, where the node characteristics, mutual influences of power transmission between nodes and the node voltage constraints are insufficiently considered. Thus a novel vulnerable point identification method based on a complex network combination and an operation index is proposed. First, from the analysis of power system topology, line parameters, power flow and operating parameters characters, a node degree index based on Laplacian spectral radius, node betweenness index and voltage over-limits index is established. Then, to obtain the combination index, which is applied to identify the vulnerable points for the power grid, the combination weighting method is used to assign complex network and operation indicator weightings. Finally, IEEE30 and IEEE118 bus systems are used to verify the proposed method’s feasibility and rationality. The results show that compared with the reference method, the proposed method’s identification results are more reasonable and have greater relevance for a power system.
This work is supported by the Key Intergovernmental Cooperation Project on International Science, Technology and Innovation of the National Key Research and Development Program of China (No. 2018YFE0125300). |
| Key words: vulnerable points identification complex network spectral radius node betweenness voltage over-limits |
