Power management strategy for photovoltaic water pumping system in agriculture
Abstract
The subject of this study is an isolated photovoltaic system with batteries, and the focus lies on optimization and control. For power optimization, three different algorithms have been used perturb and observe (P&O), incremental conductance (IC), and fuzzy logic control (FLC) algorithms. A comparison has been made and the outcomes of an implementation in Dspace 1104 device were compared to those in the simulation under MATLAB/Simulink. Using a power management control (PMC), which comes with explicit decision criteria built into this technique, makes it easier to control the investigated system. With PMC, the batteries were protected from deep discharges and overloads while the load was supplied. It is considered the situation of the water pumping for agricultural operations in Bejaia (Algeria), to show how this methodology could be applied in practice. The good performances of the suggested power management algorithm across two different profiles are demonstrated by the simulation results. This suggests that the proposed approach effectively balances the power generation, battery protection, and load supply requirements in the studied isolated PV system.
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URN: https://sloi.org/urn:sl:tjoee83298
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