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Hybrid systems in buildings: Control strategies for optimal integration

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  • Abdoul-Razak Al i-Tagba
  • Mazabalo Baneto
  • Arash Takshi
  • Dumitru Dorin Lu-cache

Abstract

This study proposes an optimized control strategy for a hybrid photovoltaic–wind system with battery storage, designed for off-grid applications. The objective is to enhance energy stability and overall efficiency through an adaptive fuzzy logic-based MPPT controller. The methodological approach is based on multi-component modeling using MATLAB/Simulink, integrating a multi-port DC converter and parametric optimization functions. The results demonstrate an overall energy efficiency of 92.7%, a 22% reduction in power oscillations compared to the conventional P&O algorithm, and DC bus voltage stabilization within ±0.5%. Furthermore, power supply continuity reaches 98.7%, and total harmonic distortion remains below 3.2%. The hierarchical energy management strategy ensures that the battery state of charge is maintained between 30% and 90%. These performance outcomes suggest that the proposed architecture is well-suited for autonomous microgrids in remote areas. Practical implications include the optimization of hybrid systems for sustainable electrification.

Suggested Citation

  • Abdoul-Razak Al i-Tagba & Mazabalo Baneto & Arash Takshi & Dumitru Dorin Lu-cache, 2025. "Hybrid systems in buildings: Control strategies for optimal integration," Edelweiss Applied Science and Technology, Learning Gate, vol. 9(7), pages 1748-1784.
    • Handle: RePEc:ajp:edwast:v:9:y:2025:i:7:p:1748-1784:id:9008
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