Optimization of a Solar Water Pumping System in Varying Weather Conditions by a New Hybrid Method Based on Fuzzy Logic and Incremental Conductance

Abdelilah Hilali, Najib El Ouanjli, Said Mahfoud, Ameena Saad Al-Sumaiti () and Mahmoud A. Mossa ()
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Abdelilah Hilali: Electronics, Communication Systems and Energy Optimization Team, Faculty of Sciences, Moulay Ismail University, Meknes 11201, Morocco
Najib El Ouanjli: Laboratory of Mechanical, Computer, Electronics and Telecommunications, Faculty of Sciences and Technology, Hassan First University, Settat 26000, Morocco
Said Mahfoud: Industrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco
Ameena Saad Al-Sumaiti: Advanced Power and Energy Center, Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi 127788, United Arab Emirates
Mahmoud A. Mossa: Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt

Energies, 2022, vol. 15, issue 22, 1-21

Abstract: The present work consists of developing a new hybrid FL-INC optimization algorithm for the solar water pumping system (SWPS) through a SEPIC converter whose objective is to improve these performances. This technique is based on the combination of the fuzzy logic of artificial intelligence and the incremental conductance (INC) technique. Indeed, the introduction of fuzzy logic to the INC algorithm allows the extraction of a maximum amount of power and an improvement in the efficiency of the SWPS. The performance of the system through the SEPIC converter is compared with those of the direct coupling to show the interest of the indirect coupling, which requires an adaptation stage driven by an optimal control algorithm. In addition, a comparative analysis between the proposed hybrid algorithm and the conventional optimization techniques, namely, P&O and INC Modified (M-INC), was carried out to confirm improvements related to the SWPS in terms of efficiency, tracking speed, power quality, tracking of the maximum power point under different weather changes, and pumped water flow.

Keywords: solar water pumping system; FL-INC; SEPIC converter; MPPT; optimization algorithm; centrifugal water pump (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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