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5G基站微网光储系统容量优化配置

麻秀范 段颖 孟祥玉 朱秋萍 王志 朱思嘉

全球能源互联网(英文)2021,Vol.4Issue(5):465-475,11.
全球能源互联网(英文)2021,Vol.4Issue(5):465-475,11.DOI:10.14171/j.2096-5117.gei.2021.05.003

5G基站微网光储系统容量优化配置

Optimal configuration for photovoltaic storage system capacity in 5G base station microgrids

麻秀范 1段颖 1孟祥玉 1朱秋萍 1王志 1朱思嘉1

作者信息

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摘要

Abstract

Base station operators deploy a large number of distributed photovoltaics to solve the problems of high energy consumption and high electricity costs of 5G base stations. In this study, the idle space of the base station's energy storage is used to stabilize the photovoltaic output, and a photovoltaic storage system microgrid of a 5G base station is constructed. Aiming at the capacity planning problem of photovoltaic storage systems, a two-layer optimal configuration method is proposed. The inner layer optimization considers the energy sharing among the base station microgrids, combines the communication characteristics of the 5G base station and the backup power demand of the energy storage battery, and determines an economic scheduling strategy for each photovoltaic storage system with the goal of minimizing the daily operation cost of the base station microgrid. The outer model aims to minimize the annual average comprehensive revenue of the 5G base station microgrid, while considering peak clipping and valley filling, to optimize the photovoltaic storage system capacity. The CPLEX solver and a genetic algorithm were used to solve the two-layer models. Considering the construction of the 5G base station in a certain area as an example, the results showed that the proposed model can not only reduce the cost of the 5G base station operators, but also reduce the peak load of the power grid and promote the local digestion of photovoltaic power.

关键词

光伏/储能/5G基站微网/双层优化

Key words

Photovoltaic/Energy storage/5G base station microgrid/Bilayer optimization

引用本文复制引用

麻秀范,段颖,孟祥玉,朱秋萍,王志,朱思嘉..5G基站微网光储系统容量优化配置[J].全球能源互联网(英文),2021,4(5):465-475,11.

基金项目

This work was supported by the State Grid Science and Technology Project(KJ21-1-56). (KJ21-1-56)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

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