Bioinspired STHVO based MPPT control for grid connected photovoltaic water pumping systems
Abdelkarim Balloutia, Mohamed Chouiekha, Hatim Amezianeb, Alia Zakritia, Youness El Mourabita, Nebojša Bačaninc d, Boško Nikoliće, Hicham Karmounif✉, Mohamed Abouhawwashg h
- aNational School of Applied Sciences, Abdelmalek Essaadi University, Tetouan, Morocco
- bLaboratory of Science and Technology for the Engineer (LaSTI), National School of Applied Sciences, Khouribga, Morocco
- cDepartment of Mathematics, Saveetha School of Engineering, SIMATS, Thandalam, Chennai, 602105, Tamilnadu, India
- dSingidunum University, Belgrade, Serbia
- eSchool of Electrical Engineering, Belgrade, Serbia
- fNational School of Applied Sciences, Cadi Ayyad University, Marrakech, Morocco. h.karmouni@uca.ac.ma
- gDepartment of Industrial and Systems Engineering, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia
- hInterdisciplinary Research Center of Smart Mobility and Logistics (IRC-SML), King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia
- ✉Corresponding author
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Abstract
Photovoltaic pumping systems have become a key solution for sustainable water supply, especially in remote and off-grid areas. Yet, their performance often drops under changing solar conditions. To address this, we introduce Spider-Tailed Horned Viper Optimization (STHVO), a novel nature-inspired MPPT technique specifically designed for such applications. A PV generator, a step-up converter, and a radial-flow pump powered by an induction motor are all part of the suggested configuration. The system was subsequently tested under standard irradiance (1000 W/m²) and real-world irradiance variations obtained from the Bni Hadifa region. By achieving 98.92% efficiency, delivering a peak hydraulic power of 72 W, and sustaining a steady 0.65 L/s flow rate, simulation results demonstrate that STHVO performs better than traditional tactics. It also ensures rapid tracking in less than 0.6 s and constant motor speed at 195 rad/s. These outcomes show how the method can enhance solar-powered systems' energy reliability and water delivery.