Improving photovoltaic water pumping system performance with ANN-based direct torque control using real-time simulation.

ABSTRACT: Photovoltaic Water Pumping Systems (PVWPS) have become increasingly important as a renewable energy solution in rural areas, providing energy independence, cost savings, and environmental friendliness. This system has two main controllers. The first controller is employed to maximize power extraction from the PV array by controlling the duty ratio of the DC-DC boost converter. The second controller is responsible for regulating the operation of the induction motor through the switching pulses of the Voltage Source Inverter (VSI). These two controllers play an essential role in the system, which increases efficiency and performance. Therefore, the innovative aspect of this work consists of introducing Artificial Neural Networks (ANNs) based on each PVWPS controller. On the one hand, ANN-bas

SUBMITTER: Saady I 

PROVIDER: S-EPMC11788436 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature