Identification of Key Communication Nodes of Low-Voltage Platform Topology for Terminal Service Fusion

With the development of the Distribution Internet of Things, the number of data acquisition equipment in low-voltage station area has exploded, making it difficult to configure data processing equipment in each information node. Identifying the key nodes in the communication network of low-voltage platform is beneficial to enhance the reliability of information processing and make the resource allocation reasonable and efficient. Therefore, this paper proposes a key node identification technology suitable for low-voltage platform communication topology. Firstly, based on the power service information flow of each node in the communication network, Theil entropy of the change of service information flow is proposed. Secondly, we propose the index of node aggregation coefficient by considering the spatial location distribution and the business importance of nodes. Based on the information entropy weight method, the weights of the above indexes are assigned to obtain the comprehensive indexes, and then the key communication nodes of the low-voltage topological platform area are identified. Finally, an example is given to verify the correctness of the proposed method.