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An efficient photovoltaic system with strong control capabilities that significantly increases performance under complex real-world PV meteorological conditions

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  • Li, Bi
  • Li, Zhinong
  • He, Deqiang

Abstract

Existing research adopts two mainstream approaches to increase the photovoltaic (PV) system's performance under partial shading (PS): improving maximum power point tracking (MPPT) algorithms and changing PV array configurations. However, these approaches barely consider the rapidly varying solar irradiation (RVSI) and temperature fluctuations (TFs) in real PS environments, which limits the adaptability and performance of PV systems in complex environments. Therefore, this paper proposes a third approach to improving PV system performance: an efficient PV system that improves control over the PV array to significantly increase performance under complex real-world PV meteorological conditions (which involve PS, RVSI, and TFs). The performance of the proposed system is analyzed using four MPPT algorithms under simple PS and complex real-world PV meteorological conditions. The results show that the proposed efficient PV system can effectively increase the global maximum power point under PS conditions and significantly increase the PV system's performance under various meteorological conditions. The average output power, tracking power speed, and output stability of this system can respectively reach 1.29 to 1.59 times, 1.49 to 10.14 times, and 0.90 to 4.24 times those of the common system. Finally, the PV experimental results validate the accuracy of the improved PV model.

Suggested Citation

  • Li, Bi & Li, Zhinong & He, Deqiang, 2025. "An efficient photovoltaic system with strong control capabilities that significantly increases performance under complex real-world PV meteorological conditions," Renewable Energy, Elsevier, vol. 240(C).
  • Handle: RePEc:eee:renene:v:240:y:2025:i:c:s0960148124023097
    DOI: 10.1016/j.renene.2024.122241
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    References listed on IDEAS

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    1. Aljafari, Belqasem & Satpathy, Priya Ranjan & Thanikanti, Sudhakar Babu, 2022. "Partial shading mitigation in PV arrays through dragonfly algorithm based dynamic reconfiguration," Energy, Elsevier, vol. 257(C).
    2. Singh, Ranjeet & Yadav, Vinod Kumar & Singh, Madhusudan, 2024. "Performance enhancement of a novel reduced cross-tied PV arrangement under irradiance mismatch scenarios," Applied Energy, Elsevier, vol. 376(PA).
    3. Miao Zhang & Keyu Zhuang & Tong Zhao & Jingze Xue & Yunlong Gao & Shuai Cui & Zheng Qiao, 2022. "MPPT Control Algorithm Based on Particle Swarm Optimization and Adaptive Linear Active Disturbance Rejection Control," Energies, MDPI, vol. 15(23), pages 1-19, November.
    4. Águila-León, Jesús & Vargas-Salgado, Carlos & Díaz-Bello, Dácil & Montagud-Montalvá, Carla, 2024. "Optimizing photovoltaic systems: A meta-optimization approach with GWO-Enhanced PSO algorithm for improving MPPT controllers," Renewable Energy, Elsevier, vol. 230(C).
    5. Murugesan, Palpandian & David, Prince Winston & Murugesan, Pravin & Periyasamy, Pounraj, 2023. "Battery based mismatch reduction technique for partial shaded solar PV system," Energy, Elsevier, vol. 272(C).
    6. Yang, Bo & Zhang, Zijian & Zhang, Jie & Cheng, Xianlong & Li, Jiale & Shu, Jiale & Wang, Jiana & Wang, Xuetong & Li, Yulin & Wang, Jingbo, 2024. "Optimal reconfiguration design and HIL validation of hybrid PV-TEG systems via improved firefly algorithm," Energy, Elsevier, vol. 286(C).
    7. Nassef, Ahmed M. & Houssein, Essam H. & Helmy, Bahaa El-din & Rezk, Hegazy, 2022. "Modified honey badger algorithm based global MPPT for triple-junction solar photovoltaic system under partial shading condition and global optimization," Energy, Elsevier, vol. 254(PA).
    8. Pal, Rudra Sankar & Mukherjee, V., 2020. "Metaheuristic based comparative MPPT methods for photovoltaic technology under partial shading condition," Energy, Elsevier, vol. 212(C).
    9. Yonggang Wang & Shengnan Dai & Pinchi Liu & Xinyu Zhao, 2023. "A Hybrid Particle Swarm Optimization with Butterfly Optimization Algorithm Based Maximum Power Point Tracking for Photovoltaic Array under Partial Shading Conditions," Sustainability, MDPI, vol. 15(16), pages 1-21, August.
    10. Celikel, Resat & Yilmaz, Musa & Gundogdu, Ahmet, 2022. "A voltage scanning-based MPPT method for PV power systems under complex partial shading conditions," Renewable Energy, Elsevier, vol. 184(C), pages 361-373.
    11. Fang, Xiaolun & Yang, Qiang, 2024. "Dynamic reconfiguration of photovoltaic array for minimizing mismatch loss," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    12. Smara, Z. & Aissat, A. & Deboucha, H. & Rezk, H. & Mekhilef, S., 2024. "An enhanced global MPPT method to mitigate overheating in PV systems under partial shading conditions," Renewable Energy, Elsevier, vol. 234(C).
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