Multifunctional Model Predictive Control of a Grid-Connected Converter with an LC Filter

This paper presents a multifunctional model predictive control (MPC) method for grid-connected converters with LC filters. The control system is capable of operating in grid-forming and grid-following modes by adjusting the controlled variables in the MPC problem, enabling a seamless transition between the two modes. Moreover, explicit constraints within the MPC framework, along with a reference limiting mechanism, ensure the safe and reliable operation of the converter, even during faults. As demonstrated by the results, the proposed control system significantly improves system performance compared to a conventional cascade controller.

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Publication Details

Published
2025-05-20
DOI
https://doi.org/10.1109/cpe-powereng63314.2025.11027298
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.53
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article

Multifunctional Model Predictive Control of a Grid-Connected Converter with an LC Filter

Πέτρος Καραμανάκος, Marko Hinkkanen, Arttu Ruusila
1 citations
Power Systems and Renewable Energy
0.53
article

Multifunctional Model Predictive Control of a Grid-Connected Converter with an LC Filter

Πέτρος Καραμανάκος, Marko Hinkkanen, Arttu Ruusila
article en
1 citations

Abstract

This paper presents a multifunctional model predictive control (MPC) method for grid-connected converters with LC filters. The control system is capable of operating in grid-forming and grid-following modes by adjusting the controlled variables in the MPC problem, enabling a seamless transition between the two modes. Moreover, explicit constraints within the MPC framework, along with a reference limiting mechanism, ensure the safe and reliable operation of the converter, even during faults. As demonstrated by the results, the proposed control system significantly improves system performance compared to a conventional cascade controller.

Tampere University (FI), Aalto University (FI)
Affordable and clean energy
Openalex Percentile: Top 30%
Power Systems and Renewable Energy
0.53
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