QPV publishes a paper on the tuning and performance of Large-Power PV irrigation systems


The paper titled On the tuning and performance of Stand-Alone Large-Power PV irrigation systems, written by QPV, the Instituto de Energía Solar – Universidad Politécnica de Madrid and the University of Málaga, has been published by the scientific journal Energy Conversion and Management: X. This article is a contribution, on the one hand, to the systematic tuning of high-power PV irrigation control systems and, on the other, to the knowledge of their experimental performance data.

FV and irrigantion

Stand-alone large-power PV irrigation systems without batteries is a recent innovation. This means that their design has not yet reached maturity and there are no experimental data about their performance available. This paper is a contribution, on the one hand, to the systematic tuning of the control of this type of systems and, on the other hand, to the knowledge of their experimental performance data.

A systematic Proportional, Integral and Derivative (PID) control tuning method for frequency converters is proposed, based on the application of the Approximate M−constrained Integral Gain Optimisation (AMIGO) design rules to the frequency response tuning method, and applied to two PV irrigation systems, located respectively in Villena and Aldeanueva de Ebro, Spain, that had a "conservative" tuning by means of an experimental trial and error method.

To check the goodness of this systematic tuning, the experimental performance of both systems has been evaluated from 2017 to 2021. New indices have been proposed to assess both the robustness of the system to PV power fluctuations (the "Number of abrupt stops" and the "Passing-cloud resistance ratio") and the performance (by factoring the traditional Performance Ratio (PR) to determine the influence of different factors external to the system). Results show that the percentage of abrupt stops improves from 40% and 39.8% in each PV irrigation system prior to systematic tuning to 7.3% and 1.3% after tuning; the passing cloud ratio increases from 65% and 79% to 97.9% and 99.8% and the PR from 61.4% and 60% to 65.7% and 64.7%.