网络元件受扰动后所表现出的脆弱程度是自身抗干扰能力与网络传导能力的综合表现。从元件间关联性出发,在熵权度数的基础上,考虑系统潮流分布情况和全局功率传输特性.构建以线路潮流与电气介数乘积为边权的改进熵权度数。同时结合节点负荷水平。提出网络传导能力模型,由此定义节点的网络重要性:根据系统安全裕度和元件关联作用.提出考虑线路过负荷以及节点失压危险的元件抗干扰能力模型.由此定义节点的故障风险性。采用综合脆弱评估模型对计及网络传导能力与抗干扰能力的节点脆弱性进行仿真计算,结果表明:所提模型在辨识元件脆弱时精准度更高,能更有效地反映系统节点在网络中的重要程度与抗扰程度.验证了模型的合理性和有效性。
The vulnerability degree of network component in perturbation is shown by its anti-interference ability and network transmission ability. According to the correlation among components,an improved entropy degree is constructed,which takes the product of line power flow and electric betweenness as its edge weight and considers the system power flow distribution and global power transmission characteristics. A network transmission ability model is proposed to define the network importance of a node based on its load level and a component anti-interference ability model considering the line overload and node voltage loss risk is proposed to define the failure risk of a node according to the system security margin and the correlations among components. An integrative evaluation model is applied to calculate the node vulnerability considering the network transmission ability and anti-interference ability and the simulative results show that,the pro- posed model identifies the vulnerable components more precisely and reflects the importance degree and anti-interference degree of system nodes more effectively,verifying its rationality and effectiveness.