LAPSE:2023.33891
Published Article
LAPSE:2023.33891
Model Predictive Control with Modulator Applied to Grid Inverter under Voltage Distorted
Angelo Lunardi, Eliomar R. Conde D, Jefferson de Assis, Darlan A. Fernandes, Alfeu J. Sguarezi Filho
April 24, 2023
This research paper presents a model of predictive control with a modulator for the inverter linked to the electrical grid, using the stationary reference frame and operating under grid distorted voltage. The stationary reference frame model for the system is obtained in its fundamental frequency and then the model predictive technique is implemented, which predicts the system actions using the obtained system model without the need of any other harmonic consideration. The controller calculates the voltage vector of the inverter through the minimization of the cost function. Thus, the proposal demonstrates, through experiments, its positive results regarding the low impact of the distorted voltage in the grid current without using any harmonic consideration on the model. Experimental results and comparisons carried out endorse the proposal of this work.
Keywords
distorted voltage, distributed generation, grid current control, inverter connected to the grid, Model Predictive Control
Suggested Citation
Lunardi A, Conde D ER, de Assis J, Fernandes DA, Sguarezi Filho AJ. Model Predictive Control with Modulator Applied to Grid Inverter under Voltage Distorted. (2023). LAPSE:2023.33891
Author Affiliations
Lunardi A: University of São Paulo, São Paulo 05508-010, Brazil; Federal University of ABC, Santo André 09210-580, Brazil
Conde D ER: Federal University of ABC, Santo André 09210-580, Brazil
de Assis J: Federal University of Paraíba, João Pessoa 58051-900, Brazil [ORCID]
Fernandes DA: Federal University of Paraíba, João Pessoa 58051-900, Brazil
Sguarezi Filho AJ: Federal University of ABC, Santo André 09210-580, Brazil
Journal Name
Energies
Volume
14
Issue
16
First Page
4953
Year
2021
Publication Date
2021-08-12
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14164953, Publication Type: Journal Article
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doi:10.3390/en14164953
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Apr 24, 2023
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