Diego Rojas
Reactive Power Control Using a Model-Based Predictive Control Strategy Applied to an Indirect Matrix Converter
Rojas, Diego; Rivera, Marco; Toledo, Sergio; Wheeler, Patrick
Authors
Marco Rivera
Sergio Toledo
Professor PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems
Abstract
Reactive power is often an issue of concern for the operation of alternating current (AC) electrical power systems. This work aims to apply a model-based predictive control (MPC) to an indirect matrix converter (IMC) to improve the power factor at the input of a converter whilst still having full control of the output current or voltage. Simulation results from a Matlab/Simulink model are presented. The objective is to compare the control performance of the IMC without input reactive power control and with reactive power minimization.
Citation
Rojas, D., Rivera, M., Toledo, S., & Wheeler, P. (2021). Reactive Power Control Using a Model-Based Predictive Control Strategy Applied to an Indirect Matrix Converter. In 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA). https://doi.org/10.1109/icaacca51523.2021.9465205
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA 2021) |
Start Date | Mar 22, 2021 |
End Date | Mar 26, 2021 |
Acceptance Date | Jan 24, 2021 |
Online Publication Date | Jul 1, 2021 |
Publication Date | Mar 22, 2021 |
Deposit Date | Oct 29, 2021 |
Publicly Available Date | Oct 29, 2021 |
Series Title | IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA) |
Book Title | 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA) |
ISBN | 9781665429788 |
DOI | https://doi.org/10.1109/icaacca51523.2021.9465205 |
Public URL | https://nottingham-repository.worktribe.com/output/6543530 |
Publisher URL | https://ieeexplore.ieee.org/document/9465205 |
Additional Information | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work. |
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