Simplified Predictive Direct Power Control of Three-Phase Three-Level Four-Leg Grid Connected NPC Converter

Bouzidi, Mansour; Barkat, Said; Krama, Abdelbasset; Abu‐Rub, Haitham

doi:10.1109/ojies.2022.3184336

Cited by 7 publications

(2 citation statements)

References 39 publications

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“…In this method, control switching sequence is calculated based on the power ripple minimization principle in every sampling period. Although the constant switching frequency and reduced power ripples are obtained, despite the significant advantages of model predictive control (MPC) based DPC, they suffer from a large computational complexity especially for ML-VSCs [25][26][27][28]. This restriction has encouraged the researchers to develop new MPC based DPC approach.…”

Section: Introductionmentioning

confidence: 99%

Predictive discrete‐time sliding mode based direct power control for grid‐connected energy conversion systems

Huseinbegović

Peruničić

Veselić

et al. 2023

IET Control Theory & Appl

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A method for digital direct power control design for grid‐connected energy conversion systems was proposed in this paper. The active and reactive powers are directly controlled with constant switching frequency by selecting an appropriate switching control sequence of voltage source converter as a key part of energy conversion systems. The control design combines a discrete‐time sliding mode control and predictive control. The selection of feasible switching control vectors is a direct result of the discrete‐time sliding mode control approach. These vectors satisfy the existence conditions of the sliding mode, but each of them induces system motion with different properties. The task of predictive control is to select an appropriate switching control sequence to reduce the chattering phenomenon, steady‐state error, and overshoot. The cost function of the prediction process is defined as the average value of both power errors on the prediction horizon of three sampling periods. Simulation results, experimental results, and results of a comparative analysis are presented in order to show the performance and effectiveness of the proposed control design.

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Section: Introductionmentioning

confidence: 99%

Predictive discrete‐time sliding mode based direct power control for grid‐connected energy conversion systems

Huseinbegović

Peruničić

Veselić

et al. 2023

IET Control Theory & Appl

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“…To overcome the mentioned issues with the traditional MPC, the combination of MPC and instantaneous power theory results in a new DPC family known as predictive direct power control (PDPC). Compared to the DPC, the PDPC assures optimal vector selection depending on the power ripple minimization concept using cost function minimization [32]. Furthermore, the predictive power control with space vector modulation (PDPC-SVM) is applied to alleviate the variable frequency of PDPC, as described in [33].…”

Section: Introductionmentioning

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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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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Sequential model predictive control for five-level MMC-based multi-terminal HVDC systems

Bouzidi,

Barkat,

Akka

et al. 2023

J. Power Electron.

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Simplified Predictive Direct Power Control of Three-Phase Three-Level Four-Leg Grid Connected NPC Converter

Cited by 7 publications

References 39 publications

Predictive discrete‐time sliding mode based direct power control for grid‐connected energy conversion systems

Predictive discrete‐time sliding mode based direct power control for grid‐connected energy conversion systems

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

Sequential model predictive control for five-level MMC-based multi-terminal HVDC systems

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