Identification and Analysis of Key Nodes in Power Optical Network Based on Node Contribution

Abstract

When a key node in the power grid fails, the entire network may be paralyzed, which has a huge impact on society. Therefore, the key node identification of power optical network has great research significance. This paper proposes a key node identification algorithm for power optical network based on node contribution. Considering the importance of neighbor nodes and their relative weights, this paper innovatively proposes the index of node contribution. Then it combines degree centrality and betweenness centrality, through the combination of entropy weight method and TOPSIS sorting algorithm, the importance of the node in the network topology layer is obtained. Finally, combined with the business importance of the power optical network node, we get the comprehensive importance of the power optical network node. The paper uses MATLAB to simulate and analyze the real power network of a certain province. By comparing the ranking results and ranking frequencies of different algorithms, it is proved that the algorithm in this paper can distinguish the ranking of each node in a finer manner, and the identification of nodes is more detailed. Through the change of the network loss after attacking the key nodes, it proves the accuracy and effectiveness of the algorithm in this paper.