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

Francisco Jesús Guillén-Arenas, José Fernández-Ramos and Luis Narvarte ()
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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

Energies, 2023, vol. 16, issue 21, 1-20

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.

Keywords: PV irrigation; water pumping; PV system; PI autotuning; tuning method; closed-loop (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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