For the determination of the backup energy storage capacity of base stations in different regions, this paper mainly considers three factors: power supply reliability of the grid node where the base station is located (grid node vulnerability), the load level of the grid node and communication load.
The backup energy storage model of the base station is established by combining the node vulnerability, load level and the communication volume of the corresponding area. The energy storage output range of the base station is finally determined.
Energy saving is achieved by adjusting the communication volume of the base station and responding to the needs of the power grid to increase or decrease the charge and discharge of the base station's energy storage. However, the paper's pricing of energy interaction ignores the operating loss costs of the operator's energy storage equipment.
Where traffic is high, less base station energy storage capacity is available. Compared with the fixed backup time, the base station energy storage model proposed in this article not only improves the utilization rate of base station energy storage, but also reduces the power loss load and power loss cost in the distribution network fault area.
The Energy storage system of communication base station is a comprehensive solution designed for various critical infrastructure scenarios, including communication base stations, smart cities, smart transportation
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Therefore, in response to the impact of communication load rate on the load of 5G base stations, this paper proposes a base station energy storage auxiliary power grid peak shaving method
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nergy Storage System for off-grid and grid-tied residential. JinkoSolar"s EAGLE RS is a 7.6 kW/ 26.2 kWh dc-coupled residential energy stora e syste Wireless communication system such as the 5G system incurs
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