Improved Model of Base Station Power System
The optimization of PV and ESS setup according to local conditions has a direct impact on the economic and ecological benefits of the
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.
Reference revealed that the 5G base station energy storage could participate in demand response, and obtain certain benefits when it meets the basic power backup requirements.
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.
Due to the specific requirements of communication services, 5G BSs are equipped with energy storage to ensure communication reliability during grid failures. However, as the reliability of DN supply improves, the probability of grid failures is decreasing, resulting in idle base station energy storage (BSES).
In case of grid failure, the BSES ensures continuous power supply to the communication equipment, maintaining communication service reliability. Illustration of 5G base station (BS) connected in distribution network (DN). The power demand of a 5G BS is categorized into two parts: static and dynamic.
Model of Base Station Power System The key equipment in 5G base stations are the baseband unit (BBU) and active antenna unit (AAU), both of which are direct current loads. The power of AAU contributes to roughly 80% of the overall communication system power and is highly dependent on the communication volume .
The optimization of PV and ESS setup according to local conditions has a direct impact on the economic and ecological benefits of the
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