Aggregation of 5G Base Station Backup Batteries for Flexibility Enhancement of Power System
Kai Xiong, Xinmiao Liu, Zheng Zhao, Kun Li +4
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95% confidenceInternational MES research in renewable-energy with focus on renewable-integration. As the penetration rate of wind and solar power in the power system rapidly increases, the power system requires more fl...
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Abstract
As the penetration rate of wind and solar power in the power system rapidly increases, the power system requires more flexible resources to ensure the balance of power supply and demand. Advancements in information and communication technologies have led to the widespread deployment of 5G base stations, whose backup batteries remain idle most of the time and thus represent untapped potential for providing flexibility for the power system. In this regard, this paper applies the maximum inner approximation method to aggregate the scheduling feasible regions of massive 5G base station backup batteries (BSBBs) to provide flexibility for the power system. Case studies demonstrate that the proposed method can significantly improve the renewable energy consumption capacity and operational economy of the power system.
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Identifiers
- Journal
- 2025 IEEE 3rd International Conference on Power Science and Technology (ICPST)
- Year
- 2025