Processing method of energy supply of solar energy base station

Abstract

The invention relates to a processing method of energy supply of a solar energy base station. The processing method includes the following steps that meteorological data of the place where a solar energy base station system is deployed are obtained, and the service request rate and the average service time of users in a community are counted within the threshold value time; the energy consumption mean value and the energy consumption rate of the base station within the threshold value time are calculated according to the service request rate and the average service time of the users in the community; the capacity data of a corresponding energy storage battery are obtained according to the energy consumption mean value and the energy consumption rate of the base station; the energy collecting rate of the solar energy base station is obtained by obtaining the meteorological data of the place where the solar energy base station system is deployed, and the area data of a corresponding solar panel are obtained based on calculation of the energy collecting rate of the solar base station, the energy consumption rate of the base station and the capacity data of the energy storage battery. According to the processing method of energy supply of the solar energy base station, under the premise that the service quality of the solar energy base station and the service life of the energy storage battery are ensured, the cost of the solar energy base station is optimized.

Description

technical field [0001] The invention relates to the technical fields of solar power generation and mobile communication, in particular to a processing method for energy supply of a solar base station. Background technique [0002] With the rapid development of the mobile communication industry, in order to continuously meet the increasing system capacity and bandwidth, and to improve the service quality of users, the deployment density of base stations is also required to be higher and higher. Under such a trend, the energy demand of the mobile communication network also increases geometrically. Since renewable energy has the advantages of wide distribution and no carbon emissions in energy supply, it has become a trend of the times to introduce renewable energy (such as solar energy) into mobile communication networks. But at the same time, because solar energy is closely related to meteorological, environmental and other factors, solar energy has randomness in time and sp...

AI Technical Summary

Problems solved by technology

Traditional design methods mainly use static analysis and design methods, ignoring the dynamic and nonlinear characteristics of the solar base station system in operation, and cannot guarantee the reliability and robustness of the designed system

[0016] (2) The traditional design adopts a coarse-grained estimation method in the calculation of base station energy consumption, which cannot accurately obtain the relationship between base station energy consumption, base station coverage, and cell user service time, so that accurate base station information cannot be obtained during the design process. Energy consumption characteristics

[0017] (3) The traditional design method is mainly based on the design of evaluation indicators to meet the needs of the power supply side. It lacks evaluation indicators for the reliability and stability of each component of the solar base station system, and cannot guarantee the service life of the energy storage battery and solar energy utilization. The designed solar base station system works reliably and economically for a long time

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