基于多属性决策的电力通信网的节点重要度计算方法

随着电网规模不断扩大,作为电网的支撑网络,电力通信网络的结构变得更加复杂且脆弱。预先识别和保护电力通信网中的重要节点是降低网络脆弱性的有效方法。为了全面地分析电力通信网中的节点,从网络中节点的局部信息、全局信息以及节点承载的业务重要度量化节点的重要性,提出一种基于多属性决策的电力通信网节点重要性计算方法。该算法首先根据各节点指标计算指标熵值以及指标之间的肯德尔系数,确定指标权重,结合多属性决策方法得到节点指标贴近度,进而得到各节点的实际重要度。最后根据不同节点重要度计算方法,分别攻击小型电力通信网、传统复杂网络、市级电力通信网中的节点,分析对网络指标的影响,证实该方法的合理性。

Node importance evaluation method of electric power communication network based on multi-attributes decision making

With the continuous expansion of power grid,as the support network of the grid,the structure of power communication network becomes more complex and fragile.Pre-identification and pre-protection of important nodes in power communication network is an effective way to reduce network vulnerability.In order to comprehensively analyze the nodes in the power communication networks,the local information of the nodes in the network,the global information,and the services importance carried by the nodes are chosen to quantify the nodes importance.At the same time,a method of calculating the importance of nodes in power communication network based on multi-attribute decision-making is proposed.Firstly,the algorithm calculates the index entropy values and the Kendall’s coefficient according to the attributes of each node,determines the index closeness degree of each node through multi-attribute decision-making method,and then obtains the actual importance degree of each node.Finally,according to different node importance calculation methods,it attacks the nodes in small power communication network,traditional complex network and municipal power communication network respectively.The rationality of the method is verified by analyzing the impact on network indicators.