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Cascade closed-loop control of solar trackers applied to HCPV systems

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  • Garrido, Ruben
  • Díaz, Arturo

Abstract

High concentration photovoltaic (HCPV) modules require a high precision tracking system for reaching their highest conversion efficiency. One way to accomplish this goal is by using a closed-loop mechanism and a sun sensor to track the sunlight. This paper proposes a cascade control algorithm capable of achieving a sun tracking error of 1′ for its application in high concentration photovoltaic systems. The algorithm follows an inner loop-outer loop topology. The inner loop employs a Nonlinear Proportional-Proportional Integral (NP-PI) controller and the outer loop resorts on a Proportional Integral (PI) controller. A tuning procedure for setting up the cascade controller is also described. Experiments on a laboratory prototype compare the performance of the proposed cascade controller with a PI controller not resorting on an inner loop. These outcomes show that the proposed control law provides improved tracking accuracy with less actuator wear.

Suggested Citation

  • Garrido, Ruben & Díaz, Arturo, 2016. "Cascade closed-loop control of solar trackers applied to HCPV systems," Renewable Energy, Elsevier, vol. 97(C), pages 689-696.
    • Handle: RePEc:eee:renene:v:97:y:2016:i:c:p:689-696
    DOI: 10.1016/j.renene.2016.06.022
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    References listed on IDEAS

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    Cited by:

    1. Díaz-Báñez, José-Miguel & Higes-López, José-Manuel & Pérez-Cutiño, Miguel-Angel & Valverde, Juan, 2024. "Optimal energy collection with rotational movement constraints in concentrated solar power plants," European Journal of Operational Research, Elsevier, vol. 317(2), pages 631-642.
    2. Salgado-Conrado, Lizbeth, 2018. "A review on sun position sensors used in solar applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2128-2146.
    3. Cătălin Alexandru, 2021. "Optimization of the Bi-Axial Tracking System for a Photovoltaic Platform," Energies, MDPI, vol. 14(3), pages 1-30, January.
    4. Wang, Yunjie & Yang, Huihan & Chen, Haifei & Yu, Bendong & Zhang, Haohua & Zou, Rui & Ren, Shaoyang, 2023. "A review: The development of crucial solar systems and corresponding cooling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    5. Sebastijan Seme & Bojan Štumberger & Miralem Hadžiselimović & Klemen Sredenšek, 2020. "Solar Photovoltaic Tracking Systems for Electricity Generation: A Review," Energies, MDPI, vol. 13(16), pages 1-24, August.
    6. Sato, Daisuke & Yamagata, Yuki & Hirata, Kenji & Yamada, Noboru, 2020. "Mathematical power-generation model of a four-terminal partial concentrator photovoltaic module for optimal sun-tracking strategy," Energy, Elsevier, vol. 213(C).
    7. Hu, Hemin & Guo, Chaohong & Cai, Haofei & Jiang, Yuyan & Liang, Shiqiang & Guo, Yongxian, 2021. "Dynamic characteristics of the recuperator thermal performance in a S–CO2 Brayton cycle," Energy, Elsevier, vol. 214(C).
    8. Satué, Manuel G. & Castaño, Fernando & Ortega, Manuel G. & Rubio, Francisco R., 2020. "Power feedback strategy based on efficiency trajectory analysis for HCPV sun tracking," Renewable Energy, Elsevier, vol. 161(C), pages 65-76.
    9. Cătălin Alexandru, 2024. "Simulation and Optimization of a Dual-Axis Solar Tracking Mechanism," Mathematics, MDPI, vol. 12(7), pages 1-33, March.

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