提出综合改进指标和逼近理想排序法(technique for order preference by similarity to ideal solution,TOPSIS)的方法,实现对节点脆弱度的评估。从结构和状态两个角度,分析当前节点脆弱性评估中的不足,定义电气耦合距离重新度量节点间距,从负载率、负载均衡度和失负荷等角度定义故障影响因子,由此改进度、凝聚度和紧密度等指标,构建综合的脆弱性指标体系。用指标大小对传统信息熵进行修正,解决其中的对称性问题,得到客观权重,根据指标作用设置主观权重,将二者综合得到综合权重。最后,提出多属性决策的思想,运用灰色关联度改进的TOPSIS法,实现节点脆弱度的评估。以IEEE14节点系统为例验证所提方法的有效性和可行性。
英文摘要:
Put forward a comprehensive method of improved indexes and TOPSIS to evaluate nodes vulnerability. From the perspectives of structure and status, this paper analyzes the current vulnerability assessment of nodes, defines the electrical coupling distance to re-measures the node spacing, and defines the fault influence factors from the aspects of load rate, load balance and load loss, so as to improve and condense Degree and tightness and other indicators, to build a comprehensive vulnerability index system. Use index size to obtain the objective weight by correcting the symmetry problem of traditional information entropy. The subjective weight is set according to the function of index, and the comprehensive weight is obtained synthetically. Finally, with the idea of multi-attribute decision-making, TOPSIS method improved by gray relational degree is used to evaluate the node vulnerability. Take the IEEE39 node system as an example to verify the validity and feasibility of the proposed method.
