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Control for a DC Microgrid for Photovoltaic–Wind Generation with a Solid Oxide Fuel Cell, Battery Storage, Dump Load (Aqua-Electrolyzer) and Three-Phase Four-Leg Inverter (4L4W)

Krakdia Mohamed Taieb () and Lassaad Sbita ()
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Krakdia Mohamed Taieb: PEESE (Processes, Energetics, Environments and Electrical Systems) Research Laboratory LR18ES34, National Engineering School of Gabes, University of Gabes, St Omar Ibn-Elkhattab, Zrig, Gabes 6029, Tunisia
Lassaad Sbita: PEESE (Processes, Energetics, Environments and Electrical Systems) Research Laboratory LR18ES34, National Engineering School of Gabes, University of Gabes, St Omar Ibn-Elkhattab, Zrig, Gabes 6029, Tunisia

Clean Technol., 2025, vol. 7, issue 3, 1-70

Abstract: This paper proposes a nonlinear control strategy for a microgrid, comprising a PV generator, wind turbine, battery, solid oxide fuel cell (SOFC), electrolyzer, and a three-phase four-leg voltage source inverter (VSI) with an LC filter. The microgrid is designed to supply unbalanced AC loads while maintaining high power quality. To address chattering and enhance control precision, a super-twisting algorithm (STA) is integrated, outperforming traditional PI, IP, and classical SMC methods. The four-leg VSI enables independent control of each phase using a dual-loop strategy (inner voltage, outer current loop). Stability is ensured through Lyapunov-based analysis. Scalar PWM is used for inverter switching. The battery, SOFC, and electrolyzer are controlled using integral backstepping, while the SOFC and electrolyzer also use Lyapunov-based voltage control. A hybrid integral backstepping–STA strategy enhances PV performance; the wind turbine is managed via integral backstepping for power tracking. The system achieves voltage and current THD below 0.40%. An energy management algorithm maintains power balance under variable generation and load conditions. Simulation results confirm the control scheme’s robustness, stability, and dynamic performance.

Keywords: wind turbine; PV generator; battery; SOFC; dump load (aqua-electrolyzer); integral backstepping controller; Lyapunov function-based controller; second-order sliding-mode controller; energy management algorithm; AC linear; nonlinear; balanced; unbalanced load (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2025
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