The inner goal included the sleep mechanism of the base station, and the optimization of the energy storage charging and discharging strategy, for minimizing the daily electricity expenditure of the 5G base station system.
This section integrates the characteristics of power components and data flow to construct an energy-saving operation model for the 5 G base station. Through optimization, the optimal energy-saving and carbon-reduction strategies for each time period are obtained, thereby promoting energy conservation and emission reduction in 5 G base stations.
In the optimal configuration of energy storage in 5G base stations, long-term planning and short-term operation of the energy storage are interconnected. Therefore, a two-layer optimization model was established to optimize the comprehensive benefits of energy storage planning and operation.
Firstly, in terms of energy equipment, the electrical component characteristics of the 5 G base station's constituent units are modeled, including air conditioning loads, power supply systems, and energy storage systems.
Compared with the ventilation base station without PCMs, the energy-saving rate of ventilation with PCMs is the largest in December, reaching 17.78%. Key words: 5G communication base station,
A multi-base station cooperative system composed of 5G acer stations was considered as the research object, and the outer goal was to maximize the net profit over the complete life cycle of
Change Log This document contains Version 1.0 of the ITU-T Technical Report on “Smart Energy Saving of 5G Base Station: Based on AI and other emerging technologies to forecast and
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The high-energy consumption and high construction density of 5G base stations have greatly increased the demand for backup energy storage batteries. To maximize overall benefits for
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