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
The massive growth of 5G base stations in the current power grid will not only increase power consumption, but also bring considerable energy storage resources. However, there are few studies on the feasibility of 5G base station energy storage participating in the emergency restoration of the power grid.
When establishing the objective function, factors such as the loss cost of charging and discharging 5G base station energy storage are ignored, resulting in deficiencies in the energy exchange model for 5G base station energy storage.
The denseness and dispersion of 5G base stations make the distance between base station energy storage and power users closer. When the user's load loses power, the relevant energy storage can be quickly controlled to participate in the power supply of the lost load.
But the analyst firm says a typical 5G base station consumes up to twice or more the power of a 4G base station; it notes that the industry consensus is that 5G will double to triple energy consumption for mobile operators, once networks scale.
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