From MPC-Based to End-to-End (E2E) Learning-Based Control Policy for Grid-Tied 3L-NPC Transformerless Inverter

Zaid, Sherif A.; Mohamed, Ihab S.; Bakeer, Abualkasim; Liu, Lantao; Albalawi, Hani; Tawfiq, Mohamed E.; Kassem, Ahmed M.

doi:10.1109/access.2022.3173752

Cited by 16 publications

(12 citation statements)

References 51 publications

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“…However, the control strategies are carried out in an external target microcontroller kit (in our research, the C2000TM microcontroller-LaunchPadXL TMS320F28379D kit). The HIL emulator necessitates collaboration between the Host-PC and the target LAUNCHXL-F28379D, accomplished through a virtual serial COM port [40,41]. In this case, the Host-PC sends measured signals (or input characteristics) such as V pv , e abc , and i abc to the LAUNCHXL-F28379D kit.…”

Section: Hil Validation Resultsmentioning

confidence: 99%

“…Target LAUNCHXL-F28379D After configuring the devices and the Host-PC, as explained in [41], the HIL simulation is used to evaluate the effectiveness of the proposedaa control strategies in controlling the PV output voltage V pv , the active output P, and reactive powers q. The system's operation under the dynamic response can be tested under different meteorological conditions.…”

Section: Host Pc (Tms320 F28379d)mentioning

confidence: 99%

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Low Computational Burden Predictive Direct Power Control of Quasi Z-Source Inverter for Grid-Tied PV Applications

et al. 2023

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This paper proposes a simplified predictive direct power control for the grid-tied quasi Z-source inverter. The proposed control implements a model predictive control structure to achieve the maximum obtainable power from the collected PV source. The power delivered to the grid is managed to compensate for the reactive power and, as needed, to ensure the grid’s stability. A predictive power model for a quasi Z-source inverter is developed in which the proposed control can operate with a fixed switching frequency without a weighting factor. The simplified space vector modulation uses the three appropriate switching vectors that are selected and applied using precalculated switching times during each switching period, in which the required switching vectors are determined only from one sector in the space vector diagram, taking all of the information of the other sectors, which leads to reducing the computational burden. Simulation results and comparative study are used to confirm the proposed control performance for the grid-tied quasi Z-source inverter capable of tracking and generating the maximum power from PV with fast-tracking dynamics, ensuring the ac voltage desired, and better tracking of the active and reactive power reference with the lowest power ripple. The grid current harmonics were tested and conformed to the IEEE-519 standard. Additionally, the proposed simplified PDPC is experimentally validated using the Hardware-in-the-Loop emulator and the C2000TM-microcontroller-LaunchPadXL TMS320F28379D kit, establishing the usability and good result of our proposed control approach in terms of requirements.

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Section: Hil Validation Resultsmentioning

confidence: 99%

Section: Host Pc (Tms320 F28379d)mentioning

confidence: 99%

Low Computational Burden Predictive Direct Power Control of Quasi Z-Source Inverter for Grid-Tied PV Applications

et al. 2023

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“…It starts by observing the power change (∆P) and voltage change (∆V) over time. When the change in power or voltage reaches zero, this indicates that the MPP is achieved, according to [39]:…”

Section: Maximum Power Point Tracking (Mppt)mentioning

confidence: 99%

“…Therefore, it has 3 ˆ3 = 27 switching states for the three-phase. To reduce the amount of leakage current in the system due to the PV capacitance, seven potential voltage vectors are used to predict the grid current [39]. These seven states have low common mode voltage (CMV).…”

Section: Proposed Model-free Predictive Control For 3l-npcmentioning

confidence: 99%

Model-Free Predictive Current Control of a 3-φ Grid-Connected Neutral-Point-Clamped Transformerless Inverter

et al. 2023

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Utility grid-tied photovoltaic (PV) installations are becoming a typical component of the current electrical energy grid. The adoption of transformerless inverters has recently changed the topology of these systems. Despite being small, inexpensive, and effective, transformerless inverters have a recurring leakage current issue. Numerous studies are being conducted to improve its performance and bring the leakage current down to acceptable levels. The studies propose three tracks for addressing the leakage current problem of transformerless PV systems: the control technique, the inverter modulation, and the inverter topology. This study applies the model-free predictive control (MFPC) technique to a grid-connected NPC 3-φ transformerless converter powered by a PV panel. An LCL filter connects the transformerless inverter to the grid. The system model considers the grid filter components and the internal impedance of the utility grid. The proposed system’s discrete model is established before describing the MFPC controller’s algorithm. The suggested system is simulated in MATLAB using the MFPC and a standard PI current controller with SVPWM modulation. According to the simulation’s findings, the MFPC controller performs best regarding current spectrum, THD, and earth leakage current. Additionally, MFPC-based systems are more efficient than those that use PI controllers.

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“…However, the proposed system is complex. The MPC control technique has been adapted for neutral point clamped inverters [33]. Though the earth leakage current is reduced, the proposed system efficiency is lower.…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement of H8 Transformerless Grid-Tied Inverter Using Model Predictive Control Considering a Weak Grid

et al. 2022

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There is increasing utilization of photovoltaic (PV) grid-connected systems in modern power networks. Currently, PV grid-connected systems utilize transformerless inverters that have the advantages of being low cost, low weight, a small size, and highly efficient. Unfortunately, these inverters have an earth leakage current problem due to the absence of galvanic isolation. This phenomenon represents safety and electrical problems for those systems. Recently, the H8 transformerless inverter was introduced to eliminate the earth leakage current. The present study proposes improving the performance of an H8 transformerless inverter using model predictive control (MPC). The inverter was supplied by PV energy and attached to the grid through an LCL filter. During system modeling, the grid weakness was identified. The discrete model of the overall system, including the PV panel, the boost converter, the H8 transformerless inverter, and the controllers, was derived. Then, the introduced H8 transformerless inverter system was simulated and analyzed by the Matlab/Simulink program. The proposed system response using MPC was tested under step disturbances in the PV insolation level. Moreover, the effect of the weak and strong grid operations was considered. The simulation results indicate that the MPC controller has better performance and high-quality injected power. Despite the excellent performance of the strong grid, the nearly weak grid performance is acceptable. Moreover, the Hardware-in-the-Loop (HIL) of the proposed system was implemented using the DSP target LaunchPadXLTMS320F28379D kit to validate the simulation results. Finally, the system performance under the parameter variations showed good robustness.

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From MPC-Based to End-to-End (E2E) Learning-Based Control Policy for Grid-Tied 3L-NPC Transformerless Inverter

Cited by 16 publications

References 51 publications

Low Computational Burden Predictive Direct Power Control of Quasi Z-Source Inverter for Grid-Tied PV Applications

Low Computational Burden Predictive Direct Power Control of Quasi Z-Source Inverter for Grid-Tied PV Applications

Model-Free Predictive Current Control of a 3-φ Grid-Connected Neutral-Point-Clamped Transformerless Inverter

Performance Improvement of H8 Transformerless Grid-Tied Inverter Using Model Predictive Control Considering a Weak Grid

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