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Optimal Inverter Control Strategies for a PV Power Generation with Battery Storage System in Microgrid

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  • Md Jahidur Rahman

    (Department of Engineering, Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, QC J9X 5E4, Canada)

  • Tahar Tafticht

    (Department of Engineering, Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, QC J9X 5E4, Canada)

  • Mamadou Lamine Doumbia

    (Department of Electrical and Computer Engineering, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada)

  • Iqbal Messaïf

    (Department of Electrical Engineering, Université des Sciences et de la Technologie Houari Boumediene, Alger 16111, Algeria)

Abstract

Power generation from Renewable Energy Sources (RESs) is unpredictable due to climate or weather changes. Therefore, more control strategies are required to maintain the proper power supply in the entire microgrid. This paper presents a simulation scheme utilizing a solar system instanced by Photovoltaic (PV) panels coupled to the grid, loads, and an energy storage device. At first, modeling the PV panels cell and their operation were analyzed. The synthesis of the adaptive notch filter was designed to compensate for the input currents. The power converter’s/inverter’s efficiency and control facility allowed us to link the energy storage system with an electrical grid. Several simulations were accomplished consistently with nonlinear control techniques for the simple inverter, multi-variable filter, notch filter, and without a filter. Finally, the performances of the nonlinear controller with various filters were carried out to regulate the DC bus of the proposed grid. The advantage of these controllers is compensating the reactive power and harmonic currents to obtain a disturbance-free power network. The overall installations and simulations were established using the Matlab/Simulink software.

Suggested Citation

  • Md Jahidur Rahman & Tahar Tafticht & Mamadou Lamine Doumbia & Iqbal Messaïf, 2023. "Optimal Inverter Control Strategies for a PV Power Generation with Battery Storage System in Microgrid," Energies, MDPI, vol. 16(10), pages 1-36, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4228-:d:1152063
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    References listed on IDEAS

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    1. Mohapatra, Alivarani & Nayak, Byamakesh & Das, Priti & Mohanty, Kanungo Barada, 2017. "A review on MPPT techniques of PV system under partial shading condition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 854-867.
    2. Roberts, Mike B. & Bruce, Anna & MacGill, Iain, 2019. "Impact of shared battery energy storage systems on photovoltaic self-consumption and electricity bills in apartment buildings," Applied Energy, Elsevier, vol. 245(C), pages 78-95.
    3. Mukhopadhyay, Bineeta & Das, Debapriya, 2020. "Multi-objective dynamic and static reconfiguration with optimized allocation of PV-DG and battery energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    4. Md Jahidur Rahman & Tahar Tafticht & Mamadou Lamine Doumbia & Ntumba Marc-Alain Mutombo, 2021. "Dynamic Stability of Wind Power Flow and Network Frequency for a High Penetration Wind-Based Energy Storage System Using Fuzzy Logic Controller," Energies, MDPI, vol. 14(14), pages 1-18, July.
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    Cited by:

    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.

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