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A meta-heuristic MPPT algorithm based photovoltaic storage DC microgrid system applied to 5G base station energy supply

Author

Listed:
  • Du, Qi
  • Mo, Shuqin
  • Wang, Yanan
  • Wang, Shusheng
  • Qin, Tuanfa
  • Zhu, Binxin
  • Zheng, Hanbo

Abstract

The development of 5th-generation mobile networks, 5G communication, is currently underway. However, the high energy consumption and associated carbon emissions of 5G base stations have emerged as significant challenges. Based on the DC load characteristics of 5G base stations, this paper designs and constructs an innovative photovoltaic-storage DC power supply system. And an Adaptive t-distribution Educational Competition Optimization (ATD-ECO) maximum power point tracking (MPPT) algorithm is proposed. This proposed system not only reduces energy losses caused by the AC-DC conversion process compared to traditional AC power supply systems, but also has lower construction costs, enhancing both economic viability and robustness. Furthermore, the proposed ATD-ECO MPPT algorithm demonstrates excellent tracking performance in partially shaded environments, further improving the photovoltaic generation efficiency of the proposed power supply solution for 5G base stations. Through simulations and experiments conducted in MATLAB/Simulink, the photovoltaic generation efficiency of the proposed system can be enhanced by more than 67% under partially shaded conditions. To further validate the system's performance, we have established a DC experimental platform to conduct power supply experiments for the base station, and the results confirm the applicability and superiority of the proposed system.

Suggested Citation

  • Du, Qi & Mo, Shuqin & Wang, Yanan & Wang, Shusheng & Qin, Tuanfa & Zhu, Binxin & Zheng, Hanbo, 2026. "A meta-heuristic MPPT algorithm based photovoltaic storage DC microgrid system applied to 5G base station energy supply," Renewable Energy, Elsevier, vol. 262(C).
    • Handle: RePEc:eee:renene:v:262:y:2026:i:c:s0960148126001898
    DOI: 10.1016/j.renene.2026.125364
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    References listed on IDEAS

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