Edge computing smart grid resource scheduling algorithm based on reinforcement learning

A smart grid is a power network capable of intelligent management and optimization. Network virtualization technology can effectively improve the resource utilization and reliability of smart grids and meet the differentiated needs of different users. In the case of limited resources, traditional vi...

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Bibliographic Details
Published inDianxin Kexue Vol. 40; no. 1; pp. 115 - 122
Main Authors Yu, Jinghang, Zhao, Yichen, Song, Hu
Format Journal Article
LanguageChinese
Published Bejing China International Book Trading 01.01.2024
Beijing Xintong Media Co., Ltd
Subjects
Algorithms
Edge computing
Electric power systems
Machine learning
Reliability
Resource scheduling
Resource utilization
Smart grid
smart grid;edge computing;virtual network embedding;resource scheduling
Virtual networks
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Summary:A smart grid is a power network capable of intelligent management and optimization. Network virtualization technology can effectively improve the resource utilization and reliability of smart grids and meet the differentiated needs of different users. In the case of limited resources, traditional virtual network embedding algorithms cannot dynamically adjust the allocation and mapping of virtual resources according to the resource usage and user needs of the power system. To solve this problem, edge computing and virtualization technology was combined and a virtual network resource scheduling algorithm based on reinforcement learning was introduced. The simulation results show that the proposed virtual resource scheduling algorithm is better than the other three scheduling algorithms in improving power grid reliability and resource utilization.
ISSN:1000-0801