Automatic Recognition Algorithm of Information Architecture Reliability Based on Energy Internet Network Topology

Author:

Ren Guowen1,Wu Minrong2ORCID,Yu Miao3

Affiliation:

1. New Energy Research Institute, Chinese Society for Urban Studies, Beijing 100835, China

2. State Grid Ningxia Electric Power Co., Ltd., Ningxia 750001, China

3. Business School, China University of Political Science and Law, Beijing 102249, China

Abstract

As a type of energy network, the scale of the power network is constantly expanding, and its structure has become more and more complicated. Correspondingly, the risks to the energy network are even less likely to be discovered, which will undoubtedly cause great troubles for the safe operation of the network. The traditional manual inspection method can no longer meet the requirements of huge and complex energy networks. Therefore, this paper proposes the algorithm, a research on the automatic identification of reliability of information architecture based on the topology of the energy Internet network. Abstract the server, storage, and other devices in the Energy Internet as network nodes, divide them according to service modules, and use Bayes estimation to evaluate and judge the impact of these nodes on the system function, so as to find the nodes with hidden risks. The results show that, compared with the traditional manual inspection method, the method proposed in this paper can efficiently and accurately find the nodes with risks and can help optimize the topology of the energy Internet network.

Funder

National Key R&D Plan

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Review of Energy Internet Architecture Based on Energy-Information-Value;2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES);2022-09-23

2. Exploring the Integration Model of Industry Chain Information System Based on Energy Internet and Its Key Technologies;Computational Intelligence and Neuroscience;2022-05-31

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