无线互联科技2024,Vol.21Issue(3) :100-105.

基于5G基站的新能源隔墙消纳研究

Research on new energy partition wall absorption based on 5G base station

陈传贤 张海鹏 翟景坚
无线互联科技2024,Vol.21Issue(3) :100-105.

基于5G基站的新能源隔墙消纳研究

Research on new energy partition wall absorption based on 5G base station

陈传贤 1张海鹏 2翟景坚1
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作者信息

  • 1. 东莞市输变电工程建设有限责任公司,广东 东莞 523000
  • 2. 广东工业大学 自动化学院,广东 广州 510006
  • 折叠

摘要

随着分布式发电在电网中的渗透率不断升高,许多地区都出现了新能源消纳能力欠缺的问题,解决新能源消纳欠缺问题将成为分布式发电进一步发展的关键所在.同时,又由于 5G技术的快速发展,5G基站或将成为解决新能源消纳问题的重要法宝.文章以南方某一典型区域内的配电网、分布式发电以及5G基站为研究对象,研究基于5G基站的新能源隔墙消纳技术.首先,分析了利用 5G基站解决新能源消纳问题的可行性;其次,以新能源总体消纳量为目标函数,考虑光伏发电出力上限、基带处理单元计算容量上限、计算任务转移时延等约束进行建模;然后,利用遗传算法对模型进行求解;最后,通过实际算例验证了模型的有效性.

Abstract

With the increasing penetration rate of distributed power generation in the power grid,the problem of insufficient absorption capacity of new energy appears in many areas.To solve the problem of insufficient absorption capacity of new energy will become the key to the further development of distributed power generation.At the same time,due to the rapid development of 5G technology,5G base stations may become an important magic weapon to solve the problem of new energy consumption.In this paper,the distribution network,distributed generation and 5G base station in a typical southern region are taken as objects to study the new energy partition absorbing technology based on 5G base station.Firstly,the feasibility of using 5G base station to solve the problem of new energy consumption is analyzed.Secondly,the overall consumption of new energy was taken as the objective function,and constraints such as the upper limit of photovoltaic power generation output,the upper limit of baseband processing unit computing capacity and the transfer delay of computing tasks were taken into account for modeling.Then,genetic algorithm is used to solve the model.Finally,a practical example is given to verify the effectiveness of the model.

关键词

分布式发电/5G基站/新能源消纳/遗传算法

Key words

distributed power generation/5G base station/new energy consumption/genetic algorithm

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基金项目

国家自然科学基金(52107185)

出版年

2024
无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
参考文献量16
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