Multi-objective capacity optimization configuration strategy for hybrid
In this paper, a multi-objective capacity optimization allocation strategy for hybrid energy storage microgrids applicable to 5G base stations in remote areas i
Given the significant increase in electricity consumption in 5G networks, which contradicts the concept of communication operators building green communication networks, the current research focus on 5G base stations is mainly on energy-saving measures and their integration with optimized power grid operation.
The 5G communication base station can be regarded as a power consumption system that integrates communication, power, and temperature coupling, which is composed of three major pieces of equipment: the communication system, energy storage system, and temperature control system.
This paper considers the peak control of base station energy storage under multi-region conditions, with the 5G communication base station serving as the research object. Future work will extend the analysis to consider the uncertainty of different types of renewable energy sources' output.
Furthermore, the effect of peak shifting is significantly enhanced with an increase in the scale of scheduling participation. The hybrid control strategy for base stations enables the effective utilization of the differing power reserve and temperature regulation resulting from the varying communication loads of base stations.
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