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 virt...

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Main Authors: Jinghang YU, Yichen ZHAO, Hu SONG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-01-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024005/
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author Jinghang YU
Yichen ZHAO
Hu SONG
author_facet Jinghang YU
Yichen ZHAO
Hu SONG
author_sort Jinghang YU
collection DOAJ
description 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.
format Article
id doaj-art-cb0d37b16d9e4edaab876870db610702
institution Kabale University
issn 1000-0801
language zho
publishDate 2024-01-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-cb0d37b16d9e4edaab876870db6107022025-01-15T02:57:33ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-01-014011512259557220Edge computing smart grid resource scheduling algorithm based on reinforcement learningJinghang YUYichen ZHAOHu SONGA 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024005/smart gridedge computingvirtual network embeddingresource scheduling
spellingShingle Jinghang YU
Yichen ZHAO
Hu SONG
Edge computing smart grid resource scheduling algorithm based on reinforcement learning
Dianxin kexue
smart grid
edge computing
virtual network embedding
resource scheduling
title Edge computing smart grid resource scheduling algorithm based on reinforcement learning
title_full Edge computing smart grid resource scheduling algorithm based on reinforcement learning
title_fullStr Edge computing smart grid resource scheduling algorithm based on reinforcement learning
title_full_unstemmed Edge computing smart grid resource scheduling algorithm based on reinforcement learning
title_short Edge computing smart grid resource scheduling algorithm based on reinforcement learning
title_sort edge computing smart grid resource scheduling algorithm based on reinforcement learning
topic smart grid
edge computing
virtual network embedding
resource scheduling
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024005/
work_keys_str_mv AT jinghangyu edgecomputingsmartgridresourceschedulingalgorithmbasedonreinforcementlearning
AT yichenzhao edgecomputingsmartgridresourceschedulingalgorithmbasedonreinforcementlearning
AT husong edgecomputingsmartgridresourceschedulingalgorithmbasedonreinforcementlearning