Solar-powered (PV) water pumping systems provide a sustainable and efficient solution for irrigation, especially in areas with high solar radiation and limited access to electrical grids. The performance of these systems depends on their ability to operate at the maximum power point (MPP) to ensure optimal energy extraction from solar panels. In this study, the Perturb and Observe (P&O) algorithm was used to track the maximum power point (MPPT), in addition, the scalar V/F technique to control the speed of a three-phase induction motor is implemented. The proposed system consists of a solar panel array, a DC-DC converter, a voltage inverter, an LC filter, and a water pump. Meteorological data for the Kirkuk area (e.g., solar radiation & temperature) were incorporated into the system analysis to ensure that it is adapted to the local environmental conditions. The system was simulated using MATLAB/Simulink to evaluate the performance under variable environmental conditions. The results showed that the P&O algorithm provides effective MPP tracking, while the V/F control maintains the stability of the motor speed while minimizing energy loss. This system is recommended as an effective and low-cost solution for irrigation and water supply applications in remote areas with high solar radiation, such as Kirkuk, which has an average solar radiation of up to 5.5 kWh/m²/day and temperatures ranging from 10°C to 45°C, making it an ideal environment for solar energy systems.
Abdullateef et al. (Mon,) studied this question.