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Fuzzy-barrier sliding mode control of electric-hydrogen hybrid energy storage system in DC microgrid: Modelling, management and experimental investigation

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  • Zehra, Syeda Shafia
  • Ur Rahman, Aqeel
  • Ahmad, Iftikhar

Abstract

In this study, a novel model and nonlinear barrier function-based first order sliding mode control (NBF-FOSMC) of a hybrid hydrogen-electric energy storage system in DC microgrid has been presented. The photo-voltaic array works at its maximum power point while the fuel cell consumes hydrogen produced by the electrolyzer along with the battery and superconducting magnetic energy storage to provide fast and uninterruptible power. Fuzzy logic based power management system has been adopted for the optimal load-generation balance. Moreover, the work has been divided into two levels in which the power references generated from master level control are fed to the slave level control. NBF-FOSMC has been implemented as an underlying controller which shows insensitivity to the disturbances bounded with an unknown upper bound and prevents the system from overestimation of the gains. Global asymptotic stability of the controller has been verified using Lyapunov stability analysis. The proposed controllers have been simulated using MATLAB/Simulink® (2019a) which illustrates the tracking of desired powers and DC bus voltage regulation with minimal tracking errors. Lastly, a comparison between NBF-FOSMC and Lyapunov redesign control has been presented along with controller hardware-in-the loop experiments to validate the real-time implementation of the designed framework.

Suggested Citation

  • Zehra, Syeda Shafia & Ur Rahman, Aqeel & Ahmad, Iftikhar, 2022. "Fuzzy-barrier sliding mode control of electric-hydrogen hybrid energy storage system in DC microgrid: Modelling, management and experimental investigation," Energy, Elsevier, vol. 239(PD).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221025081
    DOI: 10.1016/j.energy.2021.122260
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    2. Hartani, Mohamed Amine & Rezk, Hegazy & Benhammou, Aissa & Hamouda, Messaoud & Abdelkhalek, Othmane & Mekhilef, Saad & Olabi, A.G., 2023. "Proposed frequency decoupling-based fuzzy logic control for power allocation and state-of-charge recovery of hybrid energy storage systems adopting multi-level energy management for multi-DC-microgrid," Energy, Elsevier, vol. 278(C).

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