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Optimal reconfiguration design and HIL validation of hybrid PV-TEG systems via improved firefly algorithm

Author

Listed:
  • Yang, Bo
  • Zhang, Zijian
  • Zhang, Jie
  • Cheng, Xianlong
  • Li, Jiale
  • Shu, Jiale
  • Wang, Jiana
  • Wang, Xuetong
  • Li, Yulin
  • Wang, Jingbo

Abstract

Partial shading conditions (PSCs) caused by clouds, trees, buildings, and other factors can lead to uneven irradiance on the photovoltaic (PV) panel, resulting in reduced power output and decreased service life of PV systems. To deal with this problem, a reconfiguration method for hybrid photovoltaic-thermoelectric generation (PV-TEG) systems based on an improved firefly algorithm (IFA) is proposed in this paper. Firstly, the method uses PV-TEG hybrid system to make full use of the waste heat of traditional PV systems to improve the utilization rate of solar energy. Secondly, IFA is employed to adjust the electrical connection between the modules to reduce the adverse effects of PSC and increase the total output power of the system. To validate the effectiveness of this method, three different scale PV-TEG hybrid systems of 4 × 4, 9 × 9, and 15 × 9 are reconfigured under practical and standard shading conditions, and the results are compared with those obtained using PSO, GA, BWOA, AO, and ACO. The results demonstrate that the IFA-based reconfiguration enhances the output power by 31.19 %, 21.49 %, and 21.84 % for 4 × 4, 9 × 9, and 15 × 9 arrays compared with that without reconfiguration, respectively. Finally, hardware-in-the-loop (HIL) experiments further verify the hardware feasibility of the proposed method.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:286:y:2024:i:c:s0360544223030426
    DOI: 10.1016/j.energy.2023.129648
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    1. Hongkun Lv & Guoneng Li & Youqu Zheng & Jiangen Hu & Jian Li, 2018. "Compact Water-Cooled Thermoelectric Generator (TEG) Based on a Portable Gas Stove," Energies, MDPI, vol. 11(9), pages 1-19, August.
    2. Yin, Ershuai & Li, Qiang, 2022. "Achieving extensive lossless coupling of photovoltaic and thermoelectric devices through parallel connection," Renewable Energy, Elsevier, vol. 193(C), pages 565-575.
    3. Yang, Bo & Wu, Shaocong & Li, Qiang & Yan, Yingjie & Li, Danyang & Luo, Enbo & Zeng, Chunyuan & Chen, Yijun & Guo, Zhengxun & Shu, Hongchun & Li, Zilin & Wang, Jingbo, 2023. "Jellyfish search algorithm based optimal thermoelectric generation array reconfiguration under non-uniform temperature distribution condition," Renewable Energy, Elsevier, vol. 204(C), pages 197-217.
    4. Yang, Bo & Zeng, Chunyuan & Li, Danyang & Guo, Zhengxun & Chen, Yijun & Shu, Hongchun & Cao, Pulin & Li, Zilin, 2022. "Improved immune genetic algorithm based TEG system reconfiguration under non-uniform temperature distribution," Applied Energy, Elsevier, vol. 325(C).
    5. Kadri, Riad & Andrei, Horia & Gaubert, Jean-Paul & Ivanovici, Traian & Champenois, Gérard & Andrei, Paul, 2012. "Modeling of the photovoltaic cell circuit parameters for optimum connection model and real-time emulator with partial shadow conditions," Energy, Elsevier, vol. 42(1), pages 57-67.
    6. Khoshnazm, Mohammad Javad & Marzban, Ali & Azimi, Neda, 2023. "Performance enhancement of photovoltaic panels integrated with thermoelectric generators and phase change materials: Optimization and analysis of thermoelectric arrangement," Energy, Elsevier, vol. 267(C).
    7. Zhang, Xiaoshun & Tan, Tian & Yang, Bo & Wang, Jingbo & Li, Shengnan & He, Tingyi & Yang, Lei & Yu, Tao & Sun, Liming, 2020. "Greedy search based data-driven algorithm of centralized thermoelectric generation system under non-uniform temperature distribution," Applied Energy, Elsevier, vol. 260(C).
    8. Zhu, Wei & Deng, Yuan & Wang, Yao & Shen, Shengfei & Gulfam, Raza, 2016. "High-performance photovoltaic-thermoelectric hybrid power generation system with optimized thermal management," Energy, Elsevier, vol. 100(C), pages 91-101.
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