Optimal Performance of Photovoltaic-Powered Water Pumping System

Mohammad R. Altimania (), Nadia A. Elsonbaty, Mohamed A. Enany, Mahmoud M. Gamil, Saeed Alzahrani, Musfer Hasan Alraddadi, Ruwaybih Alsulami, Mohammad Alhartomi, Moahd Alghuson, Fares Alatawi and Mohamed I. Mosaad ()
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Mohammad R. Altimania: Electrical Engineering Department, University of Tabuk, Tabuk 47512, Saudi Arabia
Nadia A. Elsonbaty: Electrical Power & Machines Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt
Mohamed A. Enany: Electrical Power & Machines Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt
Mahmoud M. Gamil: Electrical Power & Machines Department, Faculty of Engineering, Zagazig University, Zagazig 44519, Egypt
Saeed Alzahrani: Electrical Engineering Department, University of Tabuk, Tabuk 47512, Saudi Arabia
Musfer Hasan Alraddadi: Electrical & Electronics Engineering Technology Department, Royal Commission Yanbu Colleges & Institutes, Yanbu Industrial City, Yanbu Al Sinaiyah 46452, Saudi Arabia
Ruwaybih Alsulami: Department of Electrical Engineering, Umm Al-Qura University, Mecca 24382, Saudi Arabia
Mohammad Alhartomi: Electrical Engineering Department, University of Tabuk, Tabuk 47512, Saudi Arabia
Moahd Alghuson: Industrial Engineering Department, University of Tabuk, Tabuk 47512, Saudi Arabia
Fares Alatawi: Electrical Engineering Department, University of Tabuk, Tabuk 47512, Saudi Arabia
Mohamed I. Mosaad: Electrical Engineering Department, Faculty of Engineering, Damietta University, Damietta 34511, Egypt

Mathematics, 2023, vol. 11, issue 3, 1-21

Abstract: Photovoltaic (PV) systems are one of the promising renewable energy sources that have many industrial applications; one of them is water pumping systems. This paper proposes a new application of a PV system for water pumping using a three-phase induction motor while maximizing the daily quantity of water pumped while considering maximizing both the efficiency of the three-phase induction motor and the harvested power from the PV system. This harvesting is performed through maximum power point tracking (MPPT) of the PV system. The proposed technique is applied to a PV-powered 3 phase induction motor water pumping system (PV-IMWPS) at any operating point. Firstly, an analytical approach is offered to find the optimal firing pattern of the inverter (V-F) for the motor through optimal flux control. This flux control is presented for maximizing the pump flow rate while achieving MPPT for the PV system and maximum efficiency of the motor at any irradiance and temperature. The provided analytical optimal flux control is compared to a fixed flux one to ascertain its effectiveness. The obtained feature of the suggested optimal flux control validates a significant improvement in the system performances, including the daily pumped quantity, motor power factor, and system efficiency. Then converting the data from the first analytical step into an intelligent approach using an adaptive neuro-fuzzy inference system (ANFIS). This ANFIS is trained offline with the input (irradiance and temperature) while the output is the inverter pattern to enhance the performance of the proposed pumping system, PV-IMWPS.

Keywords: photo-voltaic; induction motor; water pumping system; adaptive neuro-fuzzy inference system; optimum operation; maximum power point tracking (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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