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A Solar Energy Control System for On-Grid Energy Storage Device

Author

Listed:
  • Olamide O. Oladunjoye

    (University of Ibadan, Nigeria)

  • Yekeen O. Olasoji

    (The Federal University of Technology, Nigeria)

  • Kazeem B. Adedeji

    (The Federal University of Technology, Nigeria)

  • Olayide A. Oladunjoye

    (The Federal University of Technology, Nigeria)

  • Chinedu G. Olebu

    (The Federal University of Technology, Nigeria)

Abstract

Renewable energy sources could be harnessed to provide intermittent power and their integration into the grid has improved power availability. Nonetheless, ensuring the stability of the output of such a system has been a major concern. The inability to control the output of renewable resources such as solar results in operational challenges in power systems. To compensate for the fluctuating and unpredictable features of solar photovoltaic power generation, electrical energy storage systems have been introduced that may be integrated into the grid. In this paper, a solar photovoltaic model for an on-grid energy storage device was developed using MATLAB/Simulink, and the model was optimized using a fuzzy logic algorithm. The overall simulation results show that the output of the PV model can be controlled using a fuzzy-based optimization algorithm. The result of the fuzzy logic controller gave a better performance with good voltage stability. Also, the fuzzy-based optimization helps boost the voltage profile of the system.

Suggested Citation

  • Olamide O. Oladunjoye & Yekeen O. Olasoji & Kazeem B. Adedeji & Olayide A. Oladunjoye & Chinedu G. Olebu, 2022. "A Solar Energy Control System for On-Grid Energy Storage Device," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 6(3), pages 1-6, May.
    • Handle: RePEc:epw:ejece0:v:6:y:2022:i:3:id:19429
    DOI: 10.24018/ejece.2022.6.3.429
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