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. This work is supported by National Natural Science Foundation of China (No. 51677065).