Hybrid Control Strategy for 5G Base Station Virtual Battery
To solve the presented problem effectively, an evolutionary algorithm named CIMOEA/D is developed.
The 5G communication base station can be regarded as a power consumption system that integrates communication, power, and temperature coupling, which is composed of three major pieces of equipment: the communication system, energy storage system, and temperature control system.
Given the significant increase in electricity consumption in 5G networks, which contradicts the concept of communication operators building green communication networks, the current research focus on 5G base stations is mainly on energy-saving measures and their integration with optimized power grid operation.
The 5G network is the wireless terminal data; it first sends a signal to the wireless base station side, then sends via the base station to the core network equipment, and is ultimately sent to the destination receiving end.
This paper considers the peak control of base station energy storage under multi-region conditions, with the 5G communication base station serving as the research object. Future work will extend the analysis to consider the uncertainty of different types of renewable energy sources' output.
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