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Optimized Real-Time Energy Management and Neural Network-Based Control for Photovoltaic-Integrated Hybrid Uninterruptible Power Supply Systems

Author

Listed:
  • Ruben Rafael Boros

    (Institute of Physics and Electrical Engineering, University of Miskolc, 3515 Miskolc, Hungary)

  • Marcell Jobbágy

    (Institute of Physics and Electrical Engineering, University of Miskolc, 3515 Miskolc, Hungary)

  • István Bodnár

    (Institute of Physics and Electrical Engineering, University of Miskolc, 3515 Miskolc, Hungary)

Abstract

The increasing penetration of photovoltaic (PV) systems and the need for reliable backup power solutions have led to the development of hybrid uninterruptible power supply (UPS) systems. These systems integrate PV energy storage with battery backup and grid power to optimize real-time energy management. This paper proposes an advanced energy management strategy and an artificial neural network (ANN)-based control method for PV-integrated hybrid UPS systems. The proposed strategy dynamically determines the optimal power-sharing ratio between battery storage and the grid based on real-time economic parameters, load demand, and battery state of charge (SoC). A centralized ANN-based controller ensures precise control of the LLC converter and rectifier, achieving stable and efficient power distribution. Additionally, a genetic algorithm is implemented to optimize the power sharing ratio, minimizing the LCOE under varying load and electricity pricing conditions. The proposed approach is validated through simulations, demonstrating significant improvements in cost-effectiveness, system stability, and dynamic adaptability compared to conventional control methods. These findings suggest that integrating ANN-based control with optimized energy management can enhance the efficiency and sustainability of hybrid UPS systems, particularly in fluctuating energy markets.

Suggested Citation

  • Ruben Rafael Boros & Marcell Jobbágy & István Bodnár, 2025. "Optimized Real-Time Energy Management and Neural Network-Based Control for Photovoltaic-Integrated Hybrid Uninterruptible Power Supply Systems," Energies, MDPI, vol. 18(6), pages 1-32, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:6:p:1321-:d:1607513
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    References listed on IDEAS

    as
    1. Ruben Rafael Boros & István Bodnár, 2023. "Effect of SPWM Inverter in Combination with Solar Uninterruptible Induction Motor Drive," Energies, MDPI, vol. 16(13), pages 1-20, June.
    2. Ruben Rafael Boros & István Bodnár, 2022. "Grid and PV Fed Uninterruptible Induction Motor Drive Implementation and Measurements," Energies, MDPI, vol. 15(3), pages 1-18, January.
    3. Bogdanov, Dmitrii & Ram, Manish & Aghahosseini, Arman & Gulagi, Ashish & Oyewo, Ayobami Solomon & Child, Michael & Caldera, Upeksha & Sadovskaia, Kristina & Farfan, Javier & De Souza Noel Simas Barbos, 2021. "Low-cost renewable electricity as the key driver of the global energy transition towards sustainability," Energy, Elsevier, vol. 227(C).
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