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Energy management algorithm for an optimum control of a photovoltaic water pumping system

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  • Sallem, Souhir
  • Chaabene, Maher
  • Kamoun, M.B.A.

Abstract

The effectiveness of photovoltaic water pumping systems depends on the adequacy between the generated energy and the volume of pumped water. This paper presents an intelligent algorithm which makes decision on the interconnection modes and instants of photovoltaic installation components: battery, water pump and photovoltaic panel. The decision is made by fuzzy rules on the basis of the Photovoltaic Panel Generation (PVPG) forecast during a considered day, on the load required power, and by considering the battery safety. The algorithm aims to extend operation time of the water pump by controlling a switching unit which links the system components with respect to multi objective management criteria. The algorithm implementation demonstrates that the approach extends the pumping period for more than 5Â h a day which gives a mean daily improvement of 97% of the water pumped volume.

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  • Sallem, Souhir & Chaabene, Maher & Kamoun, M.B.A., 2009. "Energy management algorithm for an optimum control of a photovoltaic water pumping system," Applied Energy, Elsevier, vol. 86(12), pages 2671-2680, December.
    • Handle: RePEc:eee:appene:v:86:y:2009:i:12:p:2671-2680
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    6. Shabani, Masoume & Mahmoudimehr, Javad, 2018. "Techno-economic role of PV tracking technology in a hybrid PV-hydroelectric standalone power system," Applied Energy, Elsevier, vol. 212(C), pages 84-108.
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    9. Mohamed N. Ibrahim & Hegazy Rezk & Mujahed Al-Dhaifallah & Peter Sergeant, 2020. "Modelling and Design Methodology of an Improved Performance Photovoltaic Pumping System Employing Ferrite Magnet Synchronous Reluctance Motors," Mathematics, MDPI, vol. 8(9), pages 1-17, August.
    10. Vasudevan, Krishnakumar R. & Ramachandaramurthy, Vigna K. & Venugopal, Gomathi & Ekanayake, J.B. & Tiong, S.K., 2021. "Variable speed pumped hydro storage: A review of converters, controls and energy management strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    11. Ma, Tao & Yang, Hongxing & Lu, Lin & Peng, Jinqing, 2015. "Pumped storage-based standalone photovoltaic power generation system: Modeling and techno-economic optimization," Applied Energy, Elsevier, vol. 137(C), pages 649-659.
    12. Gopal, C. & Mohanraj, M. & Chandramohan, P. & Chandrasekar, P., 2013. "Renewable energy source water pumping systems—A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 351-370.
    13. Fu, Huide & Li, Guiqiang & Li, Fubing, 2019. "Performance comparison of photovoltaic/thermal solar water heating systems with direct-coupled photovoltaic pump, traditional pump and natural circulation," Renewable Energy, Elsevier, vol. 136(C), pages 463-472.
    14. Kaldellis, J.K. & Meidanis, E. & Zafirakis, D., 2011. "Experimental energy analysis of a stand-alone photovoltaic-based water pumping installation," Applied Energy, Elsevier, vol. 88(12), pages 4556-4562.
    15. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    16. van Staden, Adam Jacobus & Zhang, Jiangfeng & Xia, Xiaohua, 2011. "A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges," Applied Energy, Elsevier, vol. 88(12), pages 4785-4794.

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