电力通信网关键节点辨识方法研究

随着智能电网建设的推进，作为电力系统通信专网的电力通信网结构日渐复杂，承载业务量也日益增多。为准确辨识电力通信网的关键节点，提出多评价指标的关键节点辨识方法。首先按照网络拓扑情况和节点凝聚度计算各节点的静态重要度，根据节点所承担业务数量和种类计算各节点的业务重要度。然后利用三标度层次分析法确定两个指标的权重。最后根据指标及其权重计算各节点重要度，完成电力通信网的关键节点辨识。仿真表明，相对于其他算法，该算法能够更好地综合电力通信网拓扑特性和节点业务量情况，全面体现出各节点在电力通信网中的地位和作用，对电力通信网的运行风险评估具有重要参考价值。

Research on key node identification method in electric power communication network

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).