Designing optimal solar water pumping stations for irrigation of agricultural lands

• Autorzy: Haase Gundolf , Kirakossian Gagik T. , Kirakossyan Gagik H. , Mkrtchyan Vazgen A.

Identyfikatory

DOI

10.22630/srees.4994

• Języki publikacji: EN

Abstrakty

EN

An investigation into the design of a stand-alone solar water pumping station for supplying rural areas is presented. It includes a study of system components and their modeling. The solar water pumping station comprises a solar panel, DC/DC buck converter, DC motor driving a centrifugal pump, and a reservoir. The fuzzy-based maximum power point tracker is developed to optimize the drive speed and the water discharge rate of the coupled centrifugal pump. These use dN/I, d(dN/dI) use parameters, and a variation of the fill factor∆α as input variables. The proposed solution is based on a judicious fuzzy adjustment of a converter fill factor, which adapts online the load impedance to the solar panel. The simulation results show the effectiveness of the drive system for both transient and steady-state operations. Hence, it is suitable to use this fuzzy logic procedure as a standard optimization algorithm for such solar water pumping stations. The modeling is carried out in MATLAB/Simulink.

Słowa kluczowe

EN

solar panel; optimization system; buck converter; FLC; engineering model; fill factor

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
• Rocznik: 2023
• Tom: Vol. 32, No. 3
• Strony: 270--283
• Opis fizyczny: Bibliogr. 10 poz.,

Twórcy

autor

Haase Gundolf

• University of Graz, Faculty of Sciences, Austria

• https://orcid.org/0000-0002-3439-6117

autor

Kirakossian Gagik T.

• National Polytechnic University of Armenia, Institute of Information and Communication Technologies and Electroniics, Armenia

• https://orcid.org/0000-0001-8086-9782

autor

Kirakossyan Gagik H.

• National Polytechnic University of Armenia, Institute of Information and Communication Technologies and Electroniics, Armenia

• https://orcid.org/0000-0003-4450-6479

autor

Mkrtchyan Vazgen A.

• National Polytechnic University of Armenia, Institute of Information and Communication Technologies and Electroniics, Armenia

• https://orcid.org//0009-0009-0525-7394

Bibliografia

• Deokar, V., Bindu, R. & Deokar, T. (2021). Simulation modeling and experimental validation of solar photovoltaic PMBLDC motor water pumping system. Journal of Thermal Engineering, 7 (6), 1392-1405.
• Ganesh, B., Siva, G. V. & Rao, K. (2020). Simulation of solar powered water pumping system using induction motor. International Journal of Innovative Science and Research Technology, 5 (10), 1258–-1261.
• Gevorkov, L., Domínguez-García, J. L. & Romero, L. T. (2022). Review on solar photovoltaic-powered pumping systems. Energies, 16 (1), 94
• Ghosal, M. K., Badra, S. & Sahoo, N. (2021). Techno-economic evaluation of solar photovoltaic water pumping based micro-irrigation system in vegetable cultivation: a case study. Biological Forum - An International Journal, 13 (3a), 464-469.
• Jafarkazemi, F. & Dabaghi, H. (2021). Theoretical simulation and testing of a solar photovoltaic pump. Journal of Mechanical Research and Application, 11 (2), 30-40.
• Kenge, K., Hasija, M., Tare, R. & Raghuwanshi, S. S. (2020). Mathematical modelling and implementation of solar based water pumping system for irrigation. International Journal of Recent Technology and Engineering, 8 (5), 5596-5601.
• Kirakosyan, G. H., Avetisyan, Q. A., Kondjoryan, A. H. & Kirakosyan, L. G. (2014). Simulation and construction of a fuzzy-based maximum power point tracker for solar energetic plants. Proceedings of Engineering Academy of Armenia, 11 (1), 135-141.
• Nasir, A. (2019). Design and simulation of photo-voltaic water pumping system for irrigation. Advances in Applied Sciences, 4 (2), 5163.
• Nawel, M., Mourad, T. & Mongi, B. (2019). Modelling of photovoltaic water pumping system based on artificial intelligence. International Information and Engineering Technology Association, 62 (1), 11-17.
• Singh, V., Yadav, V. S., Kumar, M. & Kumar, N. (2022). Optimization and validation of solar pump performance by MATLAB Simulink and RSM. Joint Journal of Novel Carbon Resource Sciences & Green Asia Strategy, 9 (4), 1110-1125.