Energy Management Strategy for Distributed Photovoltaic 5G Base Station DC Microgrid Integrated with the CF-P&O-INC MPPT Algorithm

被引:2
作者
Cai, Zheng [1 ,2 ]
Tang, Yuben [3 ]
Guo, Wenhao [2 ,3 ]
Chen, Tingting [1 ,2 ]
Zheng, Hanbo [3 ]
Qin, Tuanfa [1 ,2 ]
机构
[1] Guangxi Univ, Sch Comp & Elect Informat, Nanning 530004, Peoples R China
[2] Guangxi Univ, Guangxi Key Lab Multimedia Commun & Network Techno, Nanning 530004, Peoples R China
[3] Guangxi Univ, Sch Elect Engn, Nanning 530004, Peoples R China
关键词
photovoltaic; MPPT; 5G base station; energy management; DC microgrid; CAPACITY;
D O I
10.3390/en17133258
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With its technical advantages of high speed, low latency, and broad connectivity, fifth-generation mobile communication technology has brought about unprecedented development in numerous vertical application scenarios. However, the high energy consumption and expansion difficulties of 5G infrastructure have become the main obstacles restricting its widespread application. Therefore, aiming to optimize the energy utilization efficiency of 5G base stations, a novel distributed photovoltaic 5G base station DC microgrid structure and an energy management strategy based on the Curve Fitting-Perturb and Observe-Incremental Conductance (CF-P&O-INC) Maximum Power Point Tracking (MPPT) algorithm from the perspectives of energy and information flows are proposed. Simulation results show that the proposed MPPT algorithm can increase the efficiency to 99.95% and 99.82% under uniform irradiation and partial shading, respectively. Under the proposed strategy, when the base station load changes drastically, the voltage fluctuation of the DC bus is less than 1.875%, and returns to a steady state within 0.07s, alleviating the high energy consumption of 5G base stations effectively and achieving coordinated optimization management of various types of energy in multi-source power supply systems.
引用
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页数:18
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