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An Automatic PI Tuning Method for Photovoltaic Irrigation Systems Based on Voltage Perturbation Using Feedforward Input

Author

Listed:
  • Francisco Jesús Guillén-Arenas

    (Instituto de Energía Solar, Universidad Politécnica de Madrid, 28031 Madrid, Spain)

  • José Fernández-Ramos

    (Departamento de Electrónica, Universidad de Málaga, 29071 Málaga, Spain)

  • Luis Narvarte

    (Instituto de Energía Solar, Universidad Politécnica de Madrid, 28031 Madrid, Spain)

Abstract

This paper proposes a new automatic tuning method for the proportional-integral (PI) controllers of photovoltaic irrigation systems (PVIS) without the need for any other power source or batteries. It enables the optimisation of the values of the PI parameters ( K p and K i ) automatically, eliminating the requirement for skilled personnel during the installation phase of PVIS. This method is based on the system’s voltage response when a disturbance signal is introduced through the feedforward input of the PI controller. To automatically assess the response properties, two indicators are proposed: the total harmonic distortion (THD), used to evaluate the sine response, and the total square distortion (TSD), used to evaluate the square response. The results indicate that the tuning changes for different irradiance and temperature conditions due to the non-linearity of the system, obtaining the most conservative values at maximum irradiance and temperature. The robustness of the results of the new automatic tuning method to abrupt photovoltaic (PV) power fluctuations due to clouds passing over the PV generator has been experimentally tested and the results show that the obtained tuning values make the PVIS stable, even when PV power drops of 66% occur abruptly.

Suggested Citation

  • Francisco Jesús Guillén-Arenas & José Fernández-Ramos & Luis Narvarte, 2023. "An Automatic PI Tuning Method for Photovoltaic Irrigation Systems Based on Voltage Perturbation Using Feedforward Input," Energies, MDPI, vol. 16(21), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7449-:d:1274436
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    References listed on IDEAS

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    1. Ahmed, Jubaer & Salam, Zainal, 2015. "An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency," Applied Energy, Elsevier, vol. 150(C), pages 97-108.
    2. Eltawil, Mohamed A. & Zhao, Zhengming, 2013. "MPPT techniques for photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 793-813.
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