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Simplified Three-Phase SSI for PV System Application Controlled via Model Predictive Control
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  • Youssuf Elthokaby,
  • Ibrahim Abdelsalam,
  • Naser Abdel-Rahim,
  • Islam Mohamed
Youssuf Elthokaby
Benha University Faculty of Engineering at Shoubra

Corresponding Author:[email protected]

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Ibrahim Abdelsalam
Arab Academy for Science Technology and Maritime Transport - Cairo Campus
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Naser Abdel-Rahim
Future University in Egypt
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Islam Mohamed
Benha University Faculty of Engineering at Shoubra
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In this paper, for standalone and grid-connected PV systems, a three-phase simplified split-source inverter (SSI) is proposed and controlled using a model-predictive control (MPC). The maximum power point tracking (MPPT) approach used is an incremental conductance method based on a PI controller for both systems. The standalone system is composed of PV modules, a three-phase SSI, and a bidirectional power DC-DC converter that connects a battery bank and a DC-side capacitor. The output AC voltages of SSI are controlled using model-predictive control. The bidirectional power DC/DC converter regulates the DC-link voltage (DCLV). The grid-connected system consists of PV modules, a three-phase SSI, and an AC-side L-filter. The DC-link PI controller generates reference currents for the MPC algorithm. The MPC uses these reference currents to adjust and deliver the PV power to the grid while regulating the DCLV. The PI controllers’ parameters are selected for both systems using the Harris Hawks optimization method. Both PV systems simulation results show that under various operating conditions, they have succeeded in fixing a DCLV and producing a high-quality AC output voltage and current at low THD. Experimental results for the three-phase standalone PV system used to verify the system’s performance.
19 May 2023Submitted to International Journal of Circuit Theory and Applications
25 May 2023Review(s) Completed, Editorial Evaluation Pending
25 May 2023Submission Checks Completed
25 May 2023Assigned to Editor
27 May 2023Reviewer(s) Assigned
05 Jul 2023Editorial Decision: Revise Major
01 Aug 20231st Revision Received
04 Aug 2023Submission Checks Completed
04 Aug 2023Assigned to Editor
04 Aug 2023Review(s) Completed, Editorial Evaluation Pending
07 Aug 2023Reviewer(s) Assigned
28 Aug 2023Editorial Decision: Revise Minor
05 Sep 20232nd Revision Received
07 Sep 2023Assigned to Editor
07 Sep 2023Submission Checks Completed
07 Sep 2023Review(s) Completed, Editorial Evaluation Pending
17 Sep 2023Reviewer(s) Assigned
21 Sep 2023Editorial Decision: Accept