Reliability Analysis and Optimization Algorithm of Power Communication Network Based on Resource Association Features
Zhiyuan Ye, Zhiyu Chen, Pengcheng Ni, Qiang Pu, Linglong Li · 2020
Improving the reliability of the Power Communication Network (PCN) has become an important research content. It is known that the existing algorithm analyzes the characteristics of the network from the dimension of the network topology, ignoring the alternative association characteristics between the network nodes, resulting in low reliability of the PCN. In order to solve this problem, this paper first analyzes the characteristics of network resource association from three aspects: resource characteristics, resource performance association analysis and resource fault correlation analysis. Then, the reliability analysis and optimization algorithm of PCN based on resource association features is proposed. Through simulation experiments, it is verified that the proposed algorithm effectively improves the reliability of the PCN.