
Evaluation of the node importance of power communication network based on multi-factor evaluation indicators
Author(s) -
Ran Zhang,
Pengpeng Yuan,
Wenying Feng,
Geng Zhang,
Yanan Wang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1325/1/012229
Subject(s) - node (physics) , computer science , network topology , distributed computing , topology (electrical circuits) , power (physics) , telecommunications network , factor (programming language) , computer network , service (business) , complex network , power network , ring network , reliability engineering , electric power system , engineering , physics , electrical engineering , economy , structural engineering , quantum mechanics , economics , programming language , world wide web
The continuous development of smart grid has promoted the advancement of the power communication network. And what followed was the complexity of the topology of the power communication network being increasing. In order to evaluate the importance of the network node more accurately, an evaluation method based on the multi-factor evaluation indicators is proposed in this paper. This method integrates the service layer and the topology layer of the network, and then combines the node types, the load factors of the nodes and the probability of failure of the nodes and links as a comprehensive factor coefficient to evaluate the importance of the nodes. The simulation results show that the algorithm proposed in the paper can consider the indicators affecting the importance of the node of the power communication network more comprehensively. It can evaluate the importance of the node more effectively which has a good application value.