This study investigates the optimization of control strategies to enhance the performance of a hybrid water pumping system (HWPS) designed for agricultural irrigation applications. The proposed system consists of a wind turbine (WT) equipped with a doubly-fed induction generator (DFIG), a photovoltaic (PV) array interfaced through a DC/DC boost converter, and an induction motor (IM) driving a centrifugal pump. Maximum power point tracking (MPPT) algorithms are implemented to maximize renewable energy extraction, including a speed-independent method for the WT and a hybrid incremental conductance–particle swarm optimization (INC–PSO) algorithm for the PV system. The dynamic models of the DFIG and IM are controlled using a sliding mode control (SMC) strategy, while a dynamic energy management system (EMS) ensures real-time power sharing between the available energy sources. Simulation results demonstrate that the proposed control framework significantly improves system efficiency, operational reliability, and overall sustainability, making it a promising solution for rural irrigation applications.
ElsirMAl-SumaitiASEl MoursiMS, et al.Coordinating the day-ahead operation scheduling for demand response and water desalination plants in smart grid. Appl Energy2023; 335: 120770. https://doi.org/10.1016/j.apenergy.2023.120770
2.
Al-SumaitiASSalamaMEl-MoursiM, et al.Enabling electricity access: revisiting load models for AC-grid operation—Part I. IET Gener Transm Distrib2019; 13: 2563–2571. https://doi.org/10.1049/iet-gtd.2018.5556
3.
El ShamyARAl-SumaitiAS. Optimal cost predictive BMS considering greywater recycling, responsive HVAC, and energy storage. Appl Energy2025; 377: 124589. https://doi.org/10.1016/j.apenergy.2024.124589
4.
TwahaSRamliMAM. A review of optimization approaches for hybrid distributed energy generation systems: off-Grid and grid-connected systems. Sustain Cities Soc2018; 41: 320–331. https://doi.org/10.1016/j.scs.2018.05.027
KhiareddineABen SalahCRekiouaD, et al.Sizing methodology for hybrid photovoltaic/wind/hydrogen/battery integrated to energy management strategy for pumping system. Energy2018; 153: 743–762. https://doi.org/10.1016/j.energy.2018.04.073
7.
ElkadeemMWangSSharshirS, et al.Feasibility analysis and techno-economic design of grid-isolated hybrid renewable energy system for electrification of agriculture and irrigation area: a case study in Dongola, Sudan. Energy Convers Manag2019; 196: 1453–1478. https://doi.org/10.1016/j.enconman.2019.06.085
8.
CarroquinoJDufo-LópezRBernal-AgustínJL. Sizing of off-grid renewable energy systems for drip irrigation in Mediterranean crops. Renew Energy2015; 76: 566–574. https://doi.org/10.1016/j.renene.2014.11.069
9.
CiupageanuDABarelliLLazaroiuG. Real-time stochastic power management strategies in hybrid renewable energy systems: a review of key applications and perspectives. Elec Power Syst Res2020; 187: 106497. https://doi.org/10.1016/j.epsr.2020.106497
10.
PoompavaiTKowsalyaM. Control and energy management strategies applied for solar photovoltaic and wind energy fed water pumping system: a review. Renew Sustain Energy Rev2019; 107: 108–122. https://doi.org/10.1016/j.rser.2019.02.023
11.
VamjaRVMullaMA. Development of grid-interactive inverter utilising induction motor driven photovoltaic water pumping system. IET Power Electron2020; 13: 3373–3383. https://doi.org/10.1049/iet-pel.2020.0154
12.
AbidiMBen RhoumaABelhadjJ. Water-energy system toward the meeting of an improved Low voltage ride through capability of grid-connected photovoltaic generator: power-sharing and control issues. Energy Sources, Part A Recovery, Util Environ Eff2020; 47: 1–28. https://doi.org/10.1080/15567036.2020.1841857
13.
LiuBZhouBYangD, et al.Optimal planning of hybrid renewable energy system considering virtual energy storage of desalination plant based on mixed-integer NSGA-III. Desalination2022; 521: 115382. https://doi.org/10.1016/j.desal.2021.115382
14.
ZaibiMCherifHChampenoisG, et al.Sizing methodology based on design of experiments for freshwater and electricity production from multi-source renewable energy systems. Desalination2018; 446: 94–103. https://doi.org/10.1016/j.desal.2018.08.008
SadasivamPKumaravelMVasudevanK, et al.Analysis of subsystems behaviour and performance evaluation of solar photovoltaic powered water pumping system. Proc IEEE 39th Photovolt Spec Conf (PVSC)2013: 2932–2937.
18.
DaliMBelhadjJRoboamX. Hybrid solar–wind system with battery storage operating in grid-connected and standalone mode: control and energy management—Experimental investigation. Energy2010; 35: 2587–2595. https://doi.org/10.1016/j.energy.2010.03.005
19.
MaoMCuiLZhangQ, et al.Classification and summarization of solar photovoltaic MPPT techniques: a review based on traditional and intelligent control strategies. Energy Rep2020; 6: 1312–1327. https://doi.org/10.1016/j.egyr.2020.05.013
20.
Ben RhoumaARoboamXBelhadjJ, et al.Improved control strategy for water pumping system fed by intermittent renewable source. Energies2023; 16: 7593. https://doi.org/10.3390/en16227593
21.
ElkholyMFathyA. Optimization of a PV fed water pumping system without storage based on teaching-learning-based optimization algorithm and artificial neural network. Sol Energy2016; 139: 199–212. https://doi.org/10.1016/j.solener.2016.09.022
22.
SaadyIKarimMBossoufiB, et al.Optimization and control of photovoltaic water pumping system using Kalman filter based MPPT and multilevel inverter fed DTC-IM. Results Eng2023; 17: 100829. https://doi.org/10.1016/j.rineng.2022.100829
23.
MoussaIBouallegueAKhedherA. 3 kW wind turbine emulator implementation on FPGA using Matlab/Simulink. Int J Renew Energy Resour2015; 5(4): 1155–1163.
24.
AkarneYEssadkiANasserT, et al.Modelling and control of a grid-connected AC microgrid with the integration of an electric vehicle. Clean Energy2023; 7(4): 707–720. https://doi.org/10.1093/ce/zkad030
25.
ChojaaHDerouichAZamzoumO, et al.A novel DPC approach for DFIG-based variable speed wind power systems using DSpace. IEEE Access2023; 11: 9493–9510. https://doi.org/10.1109/access.2023.3237511
26.
AmriAMoussaIKhedherA. Design and control of a hybrid water pumping system using energy management for sustainable agricultural irrigation: a case study of the Sidi Bouzid region in Tunisia. Int J Renew Energy Dev2025; 14(6): 1146–1159. https://doi.org/10.61435/ijred.2025.61626
27.
AmriAMoussaIKhedherA. Design and analysis of a photovoltaic water pumping system for sustainable agricultural irrigation. In: 2025 IEEE 22nd Int Multi-Conf Syst Signals & Devices (SSD). Monastir, Tunisia, 17–20 February 2025.
28.
AmriAMoussaIKhedherA. Wind energy integration for water pumping: a sustainable solution for agricultural irrigation. In: IEEE Int Conf Adv Syst Emerg Technol (IC_ASET). Mammamet-Yasmine, Tunisia, 01–04 May 2025, pp. 1–6.
29.
LiPZhangJXuR, et al.Integration of MPPT algorithms with spacecraft applications: review, classification and future development outlook. Energy2024; 308: 132927.
30.
PandeJNasikkarPKotechaK, et al.A review of maximum power point tracking algorithms for wind energy conversion systems. J Mar Sci Eng2021; 9: 1187. https://doi.org/10.3390/jmse9111187
31.
AmriAMoussaIKhedherA. Design and simulation of a PV system controlled through a hybrid INC-PSO algorithm using XSG tool. In: 2022 IEEE 9th Int Conf Sci Electron Technol Inf Telecommun (SETIT). Hammamet, Tunisia, 28–30 May 2022, pp. 361–368.
32.
LiPXiongLWuF, et al.Sliding mode controller based on feedback linearization for damping of sub-synchronous control interaction in DFIG-based wind power plants. Int J Electr Power Energy Syst2019; 107: 239–250. https://doi.org/10.1016/j.ijepes.2018.11.020
33.
UtkinVI. Sliding modes in control and optimization. Springer Science & Business Media, 2013.
