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The photovoltaic storage system is introduced into the ultra-dense heterogeneous network of 5G base stations composed of macro and micro base stations to form the micro network structure of 5G base stations .
Access to the 5G base station microgrid photovoltaic storage system based on the energy sharing strategy has a significant effect on improving the utilization rate of the photovoltaics and improving the local digestion of photovoltaic power. The case study presented in this paper was considered the base stations belonging to the same operator.
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 Case 2, the total optimal energy storage planning capacity of large-scale 5G BSs in commercial, residential, and working areas is 9039.20 kWh, and the corresponding total rated power is 1807.84 kW. The total energy storage planning capacity of large-scale 5G BSs in Case 3 is 7742 kWh, which is 14.35% lower than that of Case 2.
As a result, manufacturers are able to repurpose these base stations for 5G applications. For example, manufacturers are converting 4G radios into 5G devices that also support the 4G network. A 5G smartphone will require a 5G chipset to support the 5G network.
These solutions include 5G radio access products, which are used to build the base stations and antennas that form the backbone of 5G networks. It also offers 5G transport solutions, which are used to connect the base stations and antennas to the core network.
Although mobile operators will take different approaches to 5G infrastructure investment, we identified some trends for all network domains. There is still low spectrum coming to auction in low bands in many countries, but most countries will primarily use them for increasing 4G traffic over the short term.
As per the analysis by IMARC Group, the top 5G infrastructure companies are heavily investing in providing IoT solutions, such as Intel and Qualcomm, due to the integration of the Internet of Things (IoT) among a wide range of interconnected devices that communicate with each other to perform various tasks.
The research on 5G base station load forecasting technology can provide base station operators with a reasonable arrangement of energy supply guidance, and realize the energy saving and emission reduction of 5G base stations.
This work explores the factors that affect the energy storage reserve capacity of 5G base stations: communication volume of the base station, power consumption of the base station, backup time of the base station, and the power supply reliability of the distribution network nodes.
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.
During main power failures, the energy storage device provides emergency power for the communication equipment. A set of 5G base station main communication equipment is generally composed of a baseband BBU unit and multiple RF AAU units. Equation 1 serves as the base station load model:
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