2023 |
Youssef, R.; Hamida, M. A.; Mohamed, N.; Lassaad, S.; Djamel, T.; Yasmine, A. Single-Stage Standalone Photovoltaic Water Pumping System Using Predictive Torque Control (PTC) of Induction Machine Article de journal Dans: Electric Power Components and Systems, 2023, ISSN: 15325008, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Cost effectiveness; Induction machine; Maximum power point trackers; Pumping plants; Pumps; Solar energy; Torque; Water supply, Induction machines; Maximum Power Point Tracking; O algorithm; P&O algorithm; Photovoltaics; Predictive torque controls; PV system; Single stage; Single-stage PV system; Water pump, Induction motors @article{Youssef2023, Solar energy is widely utilized for water pumping systems, particularly in remote areas. However, such systems have different configurations and strategies, each with its own advantages and drawbacks. To design a suitable system, this paper proposes a method that utilizes a single-stage conversion system with hydraulic storage. In this method, the predictive torque controller (PTC) adjusts the inverter switching while the electrical storage in batteries is replaced by the potential energy of water in tanks. The PTC works side-by-side with a maximum power point tracking (MPPT) technique to supply the optimal power to the water-pumping Induction Motor (IM). This maximum power tracking is maintained during the day hours to provide and store water, whereas the water supply is guaranteed due to the gravity at night. The effectiveness of the proposed system is evaluated through MATLAB/Simulink-based results, demonstrating that the single-stage configuration outperforms the double-stage configuration in terms of power optimization, torque ripples, and power loss reduction. Furthermore, the suggested system offers the advantage of cost-effective installation due to its simple structure. © 2023 Taylor & Francis Group, LLC. |
Publications
2023 |
Single-Stage Standalone Photovoltaic Water Pumping System Using Predictive Torque Control (PTC) of Induction Machine Article de journal Dans: Electric Power Components and Systems, 2023, ISSN: 15325008, (cited By 0). |