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Limit Maximum Power Point Tracking Algorithm with DC Bus Voltage Sensing Capability for 5G Base Stations
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Binxin ZHU  Senior Member, CPSS1, Yang LI1, Xiaoli SHE1, Tuanfa QIN2, Yongle HU3
Journal of Power Supply | 2026, 24(6) : 277 - 286
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Journal of Power Supply | 2026, 24(6): 277-286
• Power Supplies for Computing and Telecommunication •
Limit Maximum Power Point Tracking Algorithm with DC Bus Voltage Sensing Capability for 5G Base Stations
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Binxin ZHU  Senior Member, CPSS1, Yang LI1, Xiaoli SHE1, Tuanfa QIN2, Yongle HU3
Affiliations
  • 1.School of Electrical Engineering and New Energy, China Three Gorges University (Hubei Provincial Research Center on Microgrid Engineering Technology), Yichang 443002, China
  • 2.School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
  • 3.Runjian Co., Ltd., Nanning 530007, China
Published: 2026-06-30 doi: 10.13234/j.issn.2095-2805.2026.6.277
Outline
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The integration of distributed photovoltaic (PV) power into the direct current (DC) load within 5G base stations can enhance the efficiency of PV utilization and mitigate its adverse impact on the terminal distribution network. Aimed at the issues of poor anti-interference capability in traditional perturb and observe (P&O) methods and the DC bus voltage limit violations caused by PV output fluctuations or changes in load at base stations, a limit maximum power point tracking (LMPPT) algorithm with DC bus voltage sensing capability for 5G base stations is proposed in this paper. On one hand, the algorithm’s anti-interference capability is enhanced by improving the perturbation and observation process of the traditional P&O method. On the other hand, the introduction of a voltage-tiered power limiting control strategy ensures that the DC bus voltage remains within limits, thereby maintaining the safe and stable operation of base station equipment. Additionally, a high-efficiency and high-power-density PV DC combiner module with a rated power of 600 W was built using domestic components, achieving a power density of 135.2 W/in3 and a peak efficiency of 98.9%. Experimental results effectively validated the theoretical analysis and design ideas.

Photovoltaic (PV)  /  5G base station  /  limit maximum power point tracking (LMPPT)  /  DC combiner module
邾玢鑫中国电源学会高级会员, 李炀, 佘小莉, 覃团发, 胡永乐. 一种面向5G基站具备直流母线电压感知能力的限最大功率点跟踪算法. 电源学报, 2026 , 24 (6) : 277 -286 . DOI: 10.13234/j.issn.2095-2805.2026.6.277
Binxin ZHU, Yang LI, Xiaoli SHE, Tuanfa QIN, Yongle HU. Limit Maximum Power Point Tracking Algorithm with DC Bus Voltage Sensing Capability for 5G Base Stations[J]. Journal of Power Supply, 2026 , 24 (6) : 277 -286 . DOI: 10.13234/j.issn.2095-2805.2026.6.277
  • National Natural Science Foundation of China(51707103)
  • Guangxi Zhuang Autonomous Region Key Research and Development Plan(桂科AB23026037)
Year 2026 volume 24 Issue 6
29
4
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.6.277
  • Receive Date:2024-05-20
  • Online Date:2026-10-29
  • Published:2026-06-30
Article Data
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History
  • Received:2024-05-20
  • Revised:2024-06-28
  • Accepted:2024-08-01
Funding
National Natural Science Foundation of China(51707103)
Guangxi Zhuang Autonomous Region Key Research and Development Plan(桂科AB23026037)
Affiliations
    1.School of Electrical Engineering and New Energy, China Three Gorges University (Hubei Provincial Research Center on Microgrid Engineering Technology), Yichang 443002, China
    2.School of Computer and Electronic Information, Guangxi University, Nanning 530004, China
    3.Runjian Co., Ltd., Nanning 530007, China
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表12种不同金属材料的力学参数
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Family
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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