Generalized Predictive Direct Power Control With Constant Switching Frequency for Multilevel Four-Leg Grid Connected Converter

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

doi:10.1109/tpel.2022.3142113

Cited by 11 publications

(11 citation statements)

References 30 publications

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“…To reduce the computational burden required by conventional MPDPC algorithms for MLCs, the simplified predictive power model that was proposed in [33] is used here for the proposed MPDPC. The proposed model is only defined in the first sector S1 of the SVD [33]. Therefore, only 22 switching vectors that located in S1 are used to evaluate the cost function instead of using 65 SWVs.…”

Section: A Reconstructed Voltage and Current Vectorsmentioning

confidence: 99%

“…The simplified predictive power model was synthesized based on the reconstructed voltage and current vectors 11 , SS gg VI and 1 S I [33]. Thus, this sub-section explains briefly how the vectors are constructed.…”

Section: A Reconstructed Voltage and Current Vectorsmentioning

confidence: 99%

“…In [33], a simplified predictive power model was proposed for the multilevel 4L-GCC to synthesize the predictive direct power control with a fixed switching frequency without using any cost function. However, to the best of the authors knowledge, no research work has been proposed for the MPDPC based on the cost function optimization for the 4L-GCC.…”

Section: Introductionmentioning

confidence: 99%

“…However, to the best of the authors knowledge, no research work has been proposed for the MPDPC based on the cost function optimization for the 4L-GCC. Therefore, the goal of this paper is to use the simplified predictive power model proposed in [33] to decrease the computational burden of the MPC considering active and reactive powers as controlled variables for the 3-level 4L-GCC.…”

Section: Introductionmentioning

confidence: 99%

“…In this work, a simplified solution is proposed to diminish the computational time of the MPDPC for the discussed converter. Considering, the simplified predictive power model presented in [33], a multi-objective cost function is designed without using any weighting factors. The proposed cost function is optimized considering the switching vectors that are located only in the first sector S1 of the space vector diagram (SVD).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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

Bouzidi

Barkat

Krama

et al. 2022

IEEE Open J. Ind. Electron. Soc.

Self Cite

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Model Predictive Control (MPC) provides various advantages over traditional controllers in power electronics applications. However, reducing the complexity and computational burden of the Finitecontrol set-model predictive control (FCS-MPC) in multi-leg multilevel inverters is still a challenging task. In this paper, a simplified model predictive direct power control (MPDPC) for a three-level, four-leg gridconnected converter (4L-GCC) is proposed. The main idea of the proposed strategy is to reduce the computational burden of the control algorithm by using only the switching vectors of the first sector to optimize the cost function. The proposed control method can ensure accurate control of active and reactive powers, control of zero-sequence current, as well as DC capacitor voltages balancing without using any weighting factors. Simulation and experimental results are provided to prove the effectiveness and simplicity of the proposed MPC algorithm compared with most-recently proposed solutions.

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Section: A Reconstructed Voltage and Current Vectorsmentioning

confidence: 99%

Section: A Reconstructed Voltage and Current Vectorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Bouzidi

Barkat

Krama

et al. 2022

IEEE Open J. Ind. Electron. Soc.

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An improved low-computation model predictive direct power control strategy for three-level four-leg active power filter

Wang

Guo

2023

Electr Eng

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A novel driver emotion recognition system based on deep ensemble classification

Zaman

Sun

Shah

et al. 2023

Complex Intell. Syst.

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Driver emotion classification is an important topic that can raise awareness of driving habits because many drivers are overconfident and unaware of their bad driving habits. Drivers will acquire insight into their poor driving behaviors and be better able to avoid future accidents if their behavior is automatically identified. In this paper, we use different models such as convolutional neural networks, recurrent neural networks, and multi-layer perceptron classification models to construct an ensemble convolutional neural network-based enhanced driver facial expression recognition model. First, the faces of the drivers are discovered using the faster region-based convolutional neural network (R-CNN) model, which can recognize faces in real-time and offline video reliably and effectively. The feature-fusing technique is utilized to integrate the features extracted from three CNN models, and the fused features are then used to train the suggested ensemble classification model. To increase the accuracy and efficiency of face detection, a new convolutional neural network block (InceptionV3) replaces the improved Faster R-CNN feature-learning block. To evaluate the proposed face detection and driver facial expression recognition (DFER) datasets, we achieved an accuracy of 98.01%, 99.53%, 99.27%, 96.81%, and 99.90% on the JAFFE, CK+, FER-2013, AffectNet, and custom-developed datasets, respectively. The custom-developed dataset has been recorded as the best among all under the simulation environment.

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Generalized Predictive Direct Power Control With Constant Switching Frequency for Multilevel Four-Leg Grid Connected Converter

Cited by 11 publications

References 30 publications

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

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

An improved low-computation model predictive direct power control strategy for three-level four-leg active power filter

A novel driver emotion recognition system based on deep ensemble classification

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