Two-Stage Robust Optimization of 5G Base Stations
Therefore, this paper proposes a two-stage robust optimization (TSRO) model for 5G base stations, considering the scheduling potential of backup energy storage. At the day
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.
The optimization configuration method for the 5G base station energy storage proposed in this article, that considered the sleep mechanism, has certain engineering application prospects and practical value; however, the factors considered are not comprehensive enough.
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.
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