| 引用本文: | 王炫丹,李华强,廖烽然,李春海,王羽佳,李岩.基于电压抗干扰因子与综合影响因子的电网关键节点辨识[J].电力自动化设备,2018,(4): |
| WANG Xuandan,LI Huaqiang,LIAO Fengran,LI Chunhai,WANG Yujia,LI Yan.Critical node identification of power grid based on voltage anti-interference factors and comprehensive influence factors[J].Electric Power Automation Equipment,2018,(4): |
|
| 摘要: |
| 针对现有节点辨识方法存在的评价角度单一、指标权重选取过于片面的问题，从抗干扰能力与综合影响力两方面出发，提出一种多层次多角度的电网关键节点辨识方法。基于运行可靠性理论，构建支路停运下的节点电压抗干扰因子，克服了传统节点抗干扰能力评估仅考虑负荷波动的不足；基于电气介数与潮流冲击熵，构建考虑节点社会属性的拓扑结构影响因子与考虑支路容量裕度的运行状态影响因子，综合表征节点影响力；采用灰色关联投影评价模型进行多指标综合，得到了兼顾主观专家偏好与客观数据信息的节点关键度排序。IEEE 30节点系统及某地区实际电网的仿真结果验证了所提方法的全面性和科学性。 |
| 关键词: 关键节点 电压抗干扰因子 综合影响因子 静态能量函数 电气介数 潮流冲击熵 灰色关联投影 |
| DOI：10.16081/j.issn.1006-6047.2018.04.012 |
| 分类号:TM76 |
| 基金项目: |
|
| Critical node identification of power grid based on voltage anti-interference factors and comprehensive influence factors |
|
WANG Xuandan1, LI Huaqiang1, LIAO Fengran2, LI Chunhai1, WANG Yujia3, LI Yan2
|
|
1.School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China;2.State Grid Yantai Electric Power Supply Company, Yantai 264003, China;3.State Grid Chengdu Electric Power Supply Company, Chengdu 610042, China
|
| Abstract: |
| To solve the problems of existing node identification methods such as single evaluation and too one-sided selection of index weights, a multi-level and multi-angle power grid critical node identification method is proposed from aspects of anti-interference capability and comprehensive influence. Based on the operational reliability theory, the node voltage anti-interference factors under branch outage contingency are established, overcoming the shortage of traditional node anti-interference capability evaluation method which only considers load fluctuations. Based on the electrical betweenness and impact entropy of power flow, the topological structure influence factors considering the social property of nodes and operational status influence factors considering the capacity margin of branches are established, to characterize the effects of nodes comprehensively. The multiple indexes are evaluated comprehensively by grey relation projection model to obtain the rank of node importance degree, which considers both the subjective favoritism and objective information. Simulative results of IEEE 30-bus system and a practical area power network verify the scientificalness and completeness of the proposed method. |
| Key words: critical nodes voltage anti-interference factors comprehensive influence factors static energy function electrical betweenness impact entropy of power flow grey relation projection |
