Model Design and Research of Power Communication Equipment Evaluation Based on AI

Li, Lifeng; Yang, Zhanhao

doi:10.1109/iccnea60107.2023.00021

2023 6th International Conference on Computer Network, Electronic and Automation (ICCNEA) 2023

DOI: 10.1109/iccnea60107.2023.00021

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Model Design and Research of Power Communication Equipment Evaluation Based on AI

Lifeng Li,

Zhanhao Yang

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2024

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Fit Entropy-Based Dynamic Communication Resource Slicing-Optimization Method in Smart Distribution Grids on the Medium–Low-Voltage Side

Li,

Zhu

2024

Sensors

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With the rapid development of new energy and smart technology, the demand for inter-device communication in medium–low-voltage smart distribution grids has sharply increased, leading to a surge in the variety and quantity of communication services. To meet the needs of diverse and massive communication services, deploying service function chains to flexibly combine virtual resources has become crucial. This paper proposes an optimization method based on fit entropy and network utility to address the limited communication network resources in medium–low-voltage smart distribution grids. This was conducted by modeling the distribution grid as a three-domain model consisting of a service domain, a logical domain, and a physical domain and transforming it into a hierarchical bipartite hypergraph-matching problem, which is a complex combinatorial optimization problem. This paper introduces two matching optimization algorithms: “business domain–logic domain–physical domain integration” and “service domain–logic domain, logic domain–physical domain two-stage”, which effectively address this problem based on fit entropy and utility. The simulation results demonstrate that these algorithms significantly improve service success rates and resource utilization, enhancing overall network utility.

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Fit Entropy-Based Dynamic Communication Resource Slicing-Optimization Method in Smart Distribution Grids on the Medium–Low-Voltage Side

Li,

Zhu

2024

Sensors

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Model Design and Research of Power Communication Equipment Evaluation Based on AI

Cited by 1 publication

References 14 publications

Fit Entropy-Based Dynamic Communication Resource Slicing-Optimization Method in Smart Distribution Grids on the Medium–Low-Voltage Side

Fit Entropy-Based Dynamic Communication Resource Slicing-Optimization Method in Smart Distribution Grids on the Medium–Low-Voltage Side

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