Unified Control Scheme Based on Model Predictive Control for Hybrid-Energy-Storage-Based Microgrids

This article proposes unified hierarchical control for power distribution among ac microgrids based on hybrid energy storage. In this article, each microgrid comprises hybrid energy storage (i.e., supercapacitor, battery, and hydrogen) and renewable power generator (i.e., photovoltaic module). The proposed hierarchical control framework ensures that power distribution among microgrids depends on the state of charge (SOC) of hybrid storage in the given microgrids. The present article proposes an adaptive model predictive control based tertiary layer, which is responsible for the accurate power-sharing among the microgrids based on the individual SOC of the storages in the given microgrids. The tertiary control layer generates the reference signals for the secondary control layer, where the pulsewidth modulation of the inverters in the respective microgrids is controlled. The primary control is responsible for the optimum power-sharing within individual microgrids based on the source, load, and SOC of energy storage devices. The proposed unified hierarchical control for such a system is validated in different operating scenarios using power hardware-in-the-loop experiments. The proposed control scheme is very effective in smooth and controlled power exchange among microgrids during fuel cell operating mode. The proposed scheme also improves the dc bus regulation during transient power imbalances in microgrids.

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Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2025-03-17
DOI
https://doi.org/10.1109/tpel.2025.3552210
Citations
3
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
3.64
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article

Unified Control Scheme Based on Model Predictive Control for Hybrid-Energy-Storage-Based Microgrids

Kuldeep Kumar, Sungwoo Bae, Chaeeun Lee
3 citations
IEEE Transactions on Power Electronics
Microgrid Control and Optimization
3.64
article

Unified Control Scheme Based on Model Predictive Control for Hybrid-Energy-Storage-Based Microgrids

Kuldeep Kumar, Sungwoo Bae, Chaeeun Lee
article en
3 citations

Abstract

This article proposes unified hierarchical control for power distribution among ac microgrids based on hybrid energy storage. In this article, each microgrid comprises hybrid energy storage (i.e., supercapacitor, battery, and hydrogen) and renewable power generator (i.e., photovoltaic module). The proposed hierarchical control framework ensures that power distribution among microgrids depends on the state of charge (SOC) of hybrid storage in the given microgrids. The present article proposes an adaptive model predictive control based tertiary layer, which is responsible for the accurate power-sharing among the microgrids based on the individual SOC of the storages in the given microgrids. The tertiary control layer generates the reference signals for the secondary control layer, where the pulsewidth modulation of the inverters in the respective microgrids is controlled. The primary control is responsible for the optimum power-sharing within individual microgrids based on the source, load, and SOC of energy storage devices. The proposed unified hierarchical control for such a system is validated in different operating scenarios using power hardware-in-the-loop experiments. The proposed control scheme is very effective in smooth and controlled power exchange among microgrids during fuel cell operating mode. The proposed scheme also improves the dc bus regulation during transient power imbalances in microgrids.

IEEE Transactions on Power ElectronicsVol. 40(9)
Indian Institute of Technology Guwahati (IN), Hanyang University (KR)
Affordable and clean energy
Openalex Percentile: Top 8%
Microgrid Control and Optimization
3.64
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