To enhance the utilization of base station energy storage (BSES), this paper proposes a co-regulation method for distribution network (DN) voltage control, enabling BSES participation in grid interactions.
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In this paper, a distributed collaborative optimization approach is proposed for power distribution and communication networks with 5G base stations. Firstly, the model of 5G
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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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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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First, it established a 5G base station load model considering the communication load and a 5G base station energy storage capacity schedulable model considering the energy...
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Individual 5G base stations require 3–4 times more power than fourth-generation mobile communication technology (4G) base stations, and their deployment density is 4–5 times that of 4G base stations [3, 4].
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In this region, the communication base stations are equipped with energy storage systems with a rated capacity of 48 kWh and a maximum charge/discharge power of 15.84 kW. The self-discharge efficiency is set at 0.99, and the state of charge (SOC) is allowed to range between a maximum of 0.9 and a minimum of 0.1. Figure 3.
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.
In a typical base station power consumption model, the power consumption of the base station is not stable at a particular value but changes with the real-time traffic load . Owing to the behavior of the communication users, the traffic load has the dual characteristics of time and space.
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:
At the same time, the new equipment has altered the power load characteristics of base stations. In the 5G technology framework, the 5G base station comprises macro and micro variants. The micro base station serves indoor blind spots with minimal power consumption. The macro base station exhibits greater potential for demand response.
The power consumption of micro base station is mainly basic power consumption. It does not change significantly with the traffic load, and because the micro base station is in the active or dormant state, the power consumption of the k -th micro base station as in Equation (7).
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