Standalone PV-based single-phase split-source inverter using model-predictive control

Elthokaby, Youssuf; Abdelsalam, Ibrahim; Abdel-Rahim, Naser; Mohamed, Islam F.

doi:10.1016/j.aej.2022.07.035

Cited by 14 publications

(2 citation statements)

References 29 publications

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“…Using the technique in [25], the dynamic performance is improved but the sampling frequency required is large. The author in [27] also explains a DSP-based FCS-MPC strategy but for the control of a single phase split source inverter for the standalone PV system.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-objective predictive control for three-phase three-level neutral-point clamped inverter

2023

IJATEE

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Section: Literature Reviewmentioning

confidence: 99%

Multi-objective predictive control for three-phase three-level neutral-point clamped inverter

2023

IJATEE

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“…[13][14][15][16] SSIs introduce themselves mainly to PV applications due to their many advantages. 17 The single-phase SSI for PV application is introduced in Elthokaby et al 18 While the performance of the three-phase SSI is examined with standalone PV systems via regulated modified space vector modulation PWM control. 19 Grid-connected PV system based on SSI has been introduced in previous studies [20][21][22] with different control techniques.…”

mentioning

confidence: 99%

Simplified three‐phase split‐source inverter for PV system application controlled via model‐predictive control

Elthokaby,

Abdelsalam,

Abdel‐Rahim

et al. 2023

Circuit Theory & Apps

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SummaryIn 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 MPC. 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.

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An improved model predictive control for linear induction machine drive-based split-source inverters

Hamad,

Xu,

Lotfy

et al. 2024

Discov Appl Sci

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The Split Source Inverter (SSI) is a single-stage DC-AC converter topology widely recognized for its beneficial features compared to the Z-source inverter. These advantages include a reduced number of components, a constant input current, and minimized losses. This study aims to extensively investigate and analyze the operation of a 3 kW Linear Induction Motor (LIM) using SSI through comprehensive simulations. The suggested control approach, employing finite control-model predictive thrust control (FC-MPTC), exhibits remarkable dynamic behavior and achieves a fast transient response without necessitating modifications to the control loop. Moreover, the proposed method allows for the manipulation of multiple variables by utilizing a single cost function, eliminating the need for lookup tables. The efficacy of the proposed control method is validated through comprehensive simulations and experimental tests, which exhibit accurate reference tracking speed and superior dynamic performance in regulating the thrust and primary flux. The results also showed that the proposed method had lower undulations of 5.8% than the traditional method. The proposed approach outperforms the DTC-SVM method under varying load and speed conditions by delivering remarkable accuracy and improved control characteristics.

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Standalone PV-based single-phase split-source inverter using model-predictive control

Cited by 14 publications

References 29 publications

Multi-objective predictive control for three-phase three-level neutral-point clamped inverter

Multi-objective predictive control for three-phase three-level neutral-point clamped inverter

Simplified three‐phase split‐source inverter for PV system application controlled via model‐predictive control

An improved model predictive control for linear induction machine drive-based split-source inverters

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