Single-Stage Standalone Photovoltaic Water Pumping System Using Predictive Torque Control (PTC) of Induction Machine

Abstract

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.

Keywords:

• Photovoltaic
• water pump
• induction machine
• MPPT
• predictive torque control
• P&O algorithm
• single-stage PV system

ACKNOWLEDGMENTS

There is no acknowledgment involved in this work.

ETHICAL APPROVAL

No participation of humans takes place in this implementation process.

AUTHOR'S CONTRIBUTION

R.Y, H.M.A, and N.M. designed the problem under study, performed the simulations, and obtained the results; L.S, T.D, and Y.A. analyzed the obtained results; R.Y, H.M.A, and N.M wrote the paper, which was further reviewed by R.Y, H.M.A, and N.M. and L.S, T.D, and Y.A. All authors have read and agreed to the published version of the manuscript.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

DATA AVAILABILITY STATEMENT

Data sharing is not applicable to this article.

Additional information

Funding

No funding is provided for the preparation of manuscript.

Notes on contributors

Rehouma Youssef

Rehouma Youssef, currently works at the Department of science applique, in Electrical Engineering from Ouargla. Rehouma does research interests include meta-heuristic algorithms, control and intelligent systems, power system, renewable energy.

Mohamed Assaad Hamida

Mohamed Assaad Hamida (Member, IEEE) was born in El Oued, Algeria, in 1985. He received the B.Sc. degree in electrical engineering from the University of Batna, Batna, Algeria, in 2009, the M.Sc. degree in automatic control from Ecole Nationale Supérieure d’Ingénieurs de Poitiers (ENSIP), Poitiers, France, in 2010, and the Ph.D degree in automatic control and electrical engineering from Ecole centrale de Nantes, Nantes, France, in 2013. From 2013 to 2017, he was an Associate Professor of Electrical Engineering with the University of Ouargla, Algeria. In 2017, he joined the Ecole Centrale de Nantes and the Laboratory of Digital Sciences of Nantes (LS2N), as an Associate Professor. His current research interests include robust nonlinear control, theoretical aspect of nonlinear observer design, control, and fault diagnosis of electrical systems and renewable energy applications.

Naoui Mohamed

Naoui Mohamed was born in Nefta, Tunis, in 1991. He received the degree in electrical engineering from the University of Gabès, Tunisia, in 2015, and the Ph.D. degree from the Department of Electrical Engineering, in 2020. From 2016 to 2018, he worked as a Professional Engineer in electrical and automatic engineering. He is currently an Associate Professor in electrical engineering with the University of Gabès (ENIG). He has academic experience of three years. He has published over 80 research articles in reputed journals, international conferences, and book chapters. His research interests include electric vehicles, power systems, and renewable energy.

Sbita Lassaad

Sbita Lassaad was born in Hammam Lif, Tunisia, in 1962. He received the B.E. degree in electrical engineering from the University of Tunis, Tunis, Tunisia, in 1985, and the D.E.A. and Thesis degrees in electrical engineering from the École nationale supérieure d’ingénieurs de Tunis, Tunis, in 1987 and 1997, respectively. In 1988, he joined the Department of Electrical Engineering, National School of Engineering of Sfax, University of Sfax, as a Professor Assistant, and the Department of Electrical Engineering, National Engineering School of Gabes, University of Gabés, Gabés, Tunisia, in 1991, where he became an Associate Professor, in 1998, and a Professor, in 2009.

Taibi Djamel

Taibi Djamel graduated in 2005 with a Master’s Degree with distinction from the Department of Electrical Engineering of the Faculty of Technology at the University of Batna. Since then, he has been working as an Assistant Professor at the Department of Electrical Engineering, at Kasdi Merbah University, in Ouargla, Algeria. His main research area includes Modeling of Electrical Machines, Electrical Drives Control, Power Electronics and Renewable Energy.

Amara Yasmine

Amara Yasmine has PhD from automatic department of Saad dale, Blida. Amara Yasmine does research in renewable energy sources. She is currently a MAB at Béjaïa university. His current research interests include robust nonlinear control, power system, renewable energy.