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A Novel Renewable Smart Grid Model to Sustain Solar Power Generation

Author

Listed:
  • Mohammad Abdul Baseer

    (Department of Electrical Engineering, College of Engineering, Majmaah University, Al-Majmaah 11952, Saudi Arabia)

  • Ibrahim Alsaduni

    (Department of Electrical Engineering, College of Engineering, Majmaah University, Al-Majmaah 11952, Saudi Arabia)

Abstract

The stability performance of smart grid power systems is critical and requires special attention. Additionally, the combination of Battery Energy Storage (BES) systems, Solar Photovoltaic (SPV), and wind systems in the intelligent grid model provides utilities with excellent efficiency and dependability. However, a coordination grid with PV and other resources frequently results in severe issues, such as outages or power disruptions. A power outage in the grid might result in a power loss in the delivery system. As a result, the distributed grid model’s dependable performance is intended for integrated wind energy, SPV arrays, and BE systems. This paper proposes a renewable intelligent grid model to sustain solar power generation. The model incorporates a boost converter to optimize the performance of solar panels by converting the DC power generated by the panels into AC power for use in the grid. The boost converter is optimized using a novel Horse Herd Optimization Algorithm (HOA) method. In this case, the HOA method is used to optimize the control parameters of the boost converter, such as the duty cycle and the inductor and capacitor values. According to the final results, the proposed method has reduced the Total Harmonic Deformation (THD) and power loss. Additionally, the proposed method outperformed existing strategies related to the Expected Energy Not Supplied (EENS), Loss of Load Probability (LOLP), and Loss of Load Expected (LOLE), indicating the sustainability of power generation.

Suggested Citation

  • Mohammad Abdul Baseer & Ibrahim Alsaduni, 2023. "A Novel Renewable Smart Grid Model to Sustain Solar Power Generation," Energies, MDPI, vol. 16(12), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4784-:d:1173852
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    References listed on IDEAS

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    Cited by:

    1. Chintan Patel & Tanmoy Malakar & S. Sreejith, 2023. "Assessment of Converter Performance in Hybrid AC-DC Power System under Optimal Power Flow with Minimum Number of DC Link Control Variables," Energies, MDPI, vol. 16(15), pages 1-20, August.

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