Abstract: With the maturity and large-scale deployment of 5G technology, the proportion of energy consumption of base stations in the smart grid is increasing, and there is an urgent need to
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Abstract: With the maturity and large-scale deployment of 5G technology, the proportion of energy consumption of base stations in the smart grid is increasing, and there is an urgent need to
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Did you know a single 5G base station consumes 3-4 times more energy than its 4G counterpart? As global mobile data traffic surges 40% annually, communication base station energy
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In this article, an algorithm for automatic control of energy sources was developed to improve the uninterrupted power supply of mobile communication base stations. Based on the proposed
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The fundamental parameters of the base stations are listed in Table 1. The energy storage battery for each base station has a rated capacity of 18 kWh, a maximum charge/discharge power of 3 kW, a SOC range from 10% to 90%, and an efficiency of 0.85.
Overall, 5G communication base stations’ energy consumption comprises static and dynamic power consumption . Among them, static power consumption pertains to the reduction in energy required in 5G communication base stations that remains constant regardless of service load or output transmission power.
Figure 1 illustrates the equipment composition of a typical 5G communication base station, which mainly consists of 2 aspects: a communication unit and a power supply unit.
Among them, the former mainly includes an active antenna unit (AAU), baseband processing unit (BBU), and signal transmission equipment (e.g., optical fiber), while the latter mainly includes distribution grid access power and energy storage battery. Equipment composition of 5G communication base stations.
Analogous to traditional distribution networks, the operation of distribution systems incorporating 5G communication base stations must adhere to active and reactive power flow constraints.
Different customer bases, including residential, commercial, and industrial users, influence grid utility operations. Industrial-heavy regions may focus on high reliability and power quality, while residential areas emphasize energy efficiency and demand management.
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