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Home / Archives / Volume-5 / Issue-4 / Article-3

Volume - 5 | Issue - 4 | december 2023

Model Predictive Control for Matrix Converters in Grid-Interactive Applications Open Access
Rahul Kumar Jha   215
Pages: 419-438
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Cite this article
Jha, Rahul Kumar. "Model Predictive Control for Matrix Converters in Grid-Interactive Applications." Journal of Electrical Engineering and Automation 5, no. 4 (2023): 419-438
Published
20 December, 2023
Abstract

Model Predictive Control (MPC) is a promising control strategy for matrix converters in grid-interactive applications. MPC optimizes a cost function over a finite time horizon, considering system constraints like voltage and current limits, grid codes, and power factor requirements. This enables effective grid synchronization, power quality regulation, and efficient power conversion. Advancements in MPC include predictive modelling techniques, adaptive algorithms, optimization algorithm integration, hybrid control strategies, and multi-objective optimization formulations. Benefits include fast response to changes in grid conditions, robustness in handling uncertainties, and extended time-horizon optimization. This study provides insights into MPC techniques and highlights the potential for further research.

Keywords

Model Predictive Control Matrix Converters Grid-Interactive Applications Power Electronics Renewable Energy

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