A Fast Model Predictive Control with Fixed Switching Frequency Based on Virtual Space Vector for Three-Phase Inverters

Jiang, Chao; Du, Guiping; Du, Fada; Lei, Yanxiong

doi:10.1109/peac.2018.8590576

Cited by 15 publications

(7 citation statements)

References 22 publications

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“…This method requires sampling frequency higher than the switching frequency. Virtual space vectors technique was used to generate fixed switching frequency in [102].…”

Section: Weighting Factorsmentioning

confidence: 99%

Review on Single-DC-Source Multilevel Inverters: Voltage Balancing and Control Techniques

Trabelsi

Alquennah

Vahedi³

2022

IEEE Open J. Ind. Electron. Soc.

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Nowadays, Single-DC-Source Multilevel Inverter (SDCS-MLI) topologies are being considered as more suitable for many power system applications such as Renewable Energy (RE) conversion systems and electrified transportations compared to the Multiple-DC-Source MLIs (MDCS-MLIs). Voltage balancing of the auxiliary capacitors in those configurations is a major matter of concern. Different techniques have been developed to overcome this issue that can be mainly categorized as internal controller-based and external controller-based techniques. In the former techniques, the redundant switching states help balancing the capacitors voltages. On the other hand, the latter techniques involve external regulators to balance the capacitors' voltages. This paper analyzes most of the existing techniques to control and balance the capacitors voltages in SDCS-MLIs, such as PWM, SVM, Hysteresis control, MPC, sliding mode, and Artificial Intelligence (AI) based control techniques. Furthermore, a comprehensive comparison is presented to illustrate the advantages/disadvantages of each technique. Finally, some industrial challenges and future works are projected.

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“…This method requires sampling frequency higher than the switching frequency. Virtual space vectors technique was used to generate fixed switching frequency in [102].…”

Section: Weighting Factorsmentioning

confidence: 99%

Review on Single-DC-Source Multilevel Inverters: Voltage Balancing and Control Techniques

Trabelsi

Alquennah

Vahedi³

2022

IEEE Open J. Ind. Electron. Soc.

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“…In this method, the volume of the calculations will be significantly reduced, and it can be used in multilevel converters that have a large number of control vectors. Another disadvantage of the FS-MPC method is the variable switching frequency [8]. e variable switching frequency creates a wide range of harmonics at the output of the converter, which can cause resonance and make filter design more difficult.…”

Section: Introductionmentioning

confidence: 99%

Optimal Load Distribution in DG Sources Using Model Predictive Control and the State Feedback Controller for Switching Control

Sayedi

Fatehi

Simab

2022

International Transactions on Electrical Energy Systems

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The distributed energy management of interconnected microgrids, which is based on model predictive control (MPC), relies on the cooperation of all the agents (i.e., microgrids). Model predictive control or MPC is widely used in industrial applications as an effective tool for dealing with multivariable limited control problems. MPC uses an explicit system model to predict the future horizon of the system and its outputs. This predictability allows calculating the optimal order of inputs to minimize output errors over a limited horizon, which is effected by the limitations of the system. This study presents a distributed economic model predictive control method using the new state feedback controller to control the switching of interface converters and compensate for the unbalanced and nonlinear loads. In this model, the islanding mode and the reconnection of the grid are considered to improve the transient behavior of the system to achieve steady-state power distribution. It has been proposed that it could obtain better results in predictive control, utilizing similarity transform in the state matrix and its modification. First, this model is simulated on distributed generation sources with power-sharing and local loads using the state feedback controller in MATLAB Simpower. Then, the performance of the proposed method is evaluated, confirming that it is more reliable than the FS-MPC and DSVM-MPC methods.

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“…For instance, the finite control set model predictive control (FCS-MPC) results in a variable switching frequency as it does not consider the modulator. This results in noise and high voltage or current ripples in the power converter operation [36,37], affecting a wide spectrum, which decreases the power quality as the outcome [38,39]. To overcome these disadvantages, one solution could be the inclusion of modulation schemes in the optimisation algorithm [40].…”

Section: Introductionmentioning

confidence: 99%

Predictive Control for Microgrid Applications: A Review Study

et al. 2020

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Microgrids need control and management at different levels to allow the inclusion of renewable energy sources. In this paper, a comprehensive literature review is presented to analyse the latest trends in research and development referring to the applications of predictive control in microgrids. As a result of this review, it was found that the application of predictive control techniques on microgrids is performed for the three control levels and with adaptations of the models in order to include uncertainties to improve their performance and dynamics response. In addition, to ensure system stability, but also, at higher control levels, coordinated operation among the microgrid’s components and synchronised and optimised operation with utility grids and electric power markets. Predictive control appears as a very promising control scheme with several advantages for microgrid applications of different control levels.

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A Fast Model Predictive Control with Fixed Switching Frequency Based on Virtual Space Vector for Three-Phase Inverters

Cited by 15 publications

References 22 publications

Review on Single-DC-Source Multilevel Inverters: Voltage Balancing and Control Techniques

Review on Single-DC-Source Multilevel Inverters: Voltage Balancing and Control Techniques

Optimal Load Distribution in DG Sources Using Model Predictive Control and the State Feedback Controller for Switching Control

Predictive Control for Microgrid Applications: A Review Study

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