Abstract: With the maturity and large-scale deployment of 5G technology, the proportion of energy consumption of base stations in the smart grid is increasing, and there is an urgent need to
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Abstract: With the maturity and large-scale deployment of 5G technology, the proportion of energy consumption of base stations in the smart grid is increasing, and there is an urgent need to
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Energy storage systems (ESS) are vital for communication base stations, providing backup power when the grid fails and ensuring that services remain available at all times. They can store energy from various
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On the other hand, considering the energy use, the concept of a green base station system is proposed, which uses renewable energy or hybrid power to provide energy for the base station system, allowing energy flow between base stations and smart grid , , , .
In this article, we assumed that the 5G base station adopted the mode of combining grid power supply with energy storage power supply.
When the base station operator does not invest in the deployment of photovoltaics, the cost comes from the investment in backup energy storage, operation and maintenance, and load power consumption. Energy storage does not participate in grid interaction, and there is no peak-shaving or valley-filling effect.
Therefore, 5G macro and micro base stations use intelligent photovoltaic storage systems to form a source-load-storage integrated microgrid, which is an effective solution to the energy consumption problem of 5G base stations and promotes energy transformation.
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.
In a typical base station power consumption model, the power consumption of the base station is not stable at a particular value but changes with the real-time traffic load . Owing to the behavior of the communication users, the traffic load has the dual characteristics of time and space.
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