Low-delay low-voltage load aggregator demand response communication transmission architecture based on 5g edge computing
Participation of low-voltage users in demand response is one of the most important ways to mitigate the mismatch between power supply and demand. However, existing smart metering devices cannot support the low-delay and high-reliability transmission of massive power data. 5G communication technology...
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| Veröffentlicht in: | Journal of physics. Conference series 2024-08, Vol.2831 (1), p.12009 |
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| creator | Qin, Yupeng Lin, Xiuqing Huang, Junli |
| description | Participation of low-voltage users in demand response is one of the most important ways to mitigate the mismatch between power supply and demand. However, existing smart metering devices cannot support the low-delay and high-reliability transmission of massive power data. 5G communication technology provides a new communication transmission structure for load aggregators to communicate with low-voltage users and power grid companies. This paper combines 5G communication slicing technology and edge computing technology to rationally allocate computing and communication resources through deep Q-learning algorithms. The scheme proposed in this paper has a lower delay than the equal resource allocation scheme and is suitable for high-speed transmission of massive interactive response data from low-voltage users. |
| doi_str_mv | 10.1088/1742-6596/2831/1/012009 |
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| subjects | Algorithms Delay Edge computing Electric potential Electric power demand Machine learning Resource allocation Structural reliability Voltage |
| title | Low-delay low-voltage load aggregator demand response communication transmission architecture based on 5g edge computing |
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