Intersampling Model Predictive Control Scheme for Grid-Forming in an Isolated Microgrid

This paper presents a novel implementation and analysis of a Model Predictive Control scheme for a GridForming (GFM) system in an isolated microgrid, which includes photovoltaic generation and a battery energy storage system (BESS). The motivation lies in the increasing demand for sustainable and autonomous energy solutions, especially in rural regions without access to the grid. The proposed control presents an intersampling Finite Control Set Model Predictive Control (FCS-MPC), increasing the output levels of the inverter and reducing the output harmonics. The simulation results highlight the robustness of the proposed control, demonstrating good performance in voltage and current tracking.

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Publication Details

Published
2025-05-20
DOI
https://doi.org/10.1109/cpe-powereng63314.2025.11027212
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21
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article

Intersampling Model Predictive Control Scheme for Grid-Forming in an Isolated Microgrid

G. Huerta, M. Norambuena, Fernanda Carnielutti, José Rodríguez et al.
1 citations
Microgrid Control and Optimization
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article

Intersampling Model Predictive Control Scheme for Grid-Forming in an Isolated Microgrid

G. Huerta, M. Norambuena, Fernanda Carnielutti, José Rodríguez, Maha Nasr, C. Urquieta
article en
1 citations

Abstract

This paper presents a novel implementation and analysis of a Model Predictive Control scheme for a GridForming (GFM) system in an isolated microgrid, which includes photovoltaic generation and a battery energy storage system (BESS). The motivation lies in the increasing demand for sustainable and autonomous energy solutions, especially in rural regions without access to the grid. The proposed control presents an intersampling Finite Control Set Model Predictive Control (FCS-MPC), increasing the output levels of the inverter and reducing the output harmonics. The simulation results highlight the robustness of the proposed control, demonstrating good performance in voltage and current tracking.

San Sebastián University (CL), Universidade Federal de Santa Maria (BR), Federico Santa María Technical University (CL)
Openalex Percentile: Top 20%
Microgrid Control and Optimization
1.21
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