Along with the advancement of the smart grid construction, the structure of power communication network is becoming more and more complicated, and the business carrying capacity is also increasing. In order to accurately identify the crucial nodes of the power communication network, a new node identification method with multi-evaluation index is proposed. Firstly, the static importance degree of each node is calculated according to the network topology and node cohesion, and the service importance is calculated according to the number and kinds of services borne by the nodes. Then the weights of the two indexes are determined by the three-level analytic hierarchy process. Finally node identification is calculated by the index and its weights. The simulation results show that the proposed algorithm better integrates the topological characteristics of power communication network and node traffic situation compared with other algorithms, fully reflects the position and role of each node in the power communication network, and also has important reference value in power communication network operational risk evaluation. This work is supported by National Natural Science Foundation of China (No. 50677047) and Natural Science Foundation of Hubei Province (No. 2015CFB563).