Optimization of Base Station Power Supply Selection by Quantum
In this poster, we use quantum annealing to solve the optimal operation for a photovoltaic-powered 5G base station, and discuss its usefulness and quality.
An improved base station power system model is proposed in this paper, which takes into consideration the behavior of converters. And through this, a multi-faceted assessment criterion that considers both economic and ecological factors is established.
The optimization of PV and ESS setup according to local conditions has a direct impact on the economic and ecological benefits of the base station power system. An improved base station power system model is proposed in this paper, which takes into consideration the behavior of converters.
The influence of converter behavior in base station power supply systems is considered from economic and ecological perspectives in this paper, and an optimal capacity planning of PV and ESS is established. Comparative analyses were conducted for three different PV access schemes and two different climate conditions.
Base stations' backup energy storage time is often related to the reliability of power supply between power grids. For areas with high power supply reliability, the backup energy storage time of base stations can be set smaller.
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