Dual-Boost Inverter for PV Microinverter Application—An Assessment of Control Strategies

Photovoltaic (PV) microinverters have grown rapidly in the small-scale PV market, where typical two-stage converters are used to connect one PV module to the single-phase AC grid. This configuration achieves better performance in terms of energy yield compared with other PV configurations. However,...

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Main Authors: Diana Lopez-Caiza, Hugues Renaudineau, Nicolas Muller, Freddy Flores-Bahamonde, Samir Kouro, Jose Rodriguez
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/12/5952
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author Diana Lopez-Caiza
Hugues Renaudineau
Nicolas Muller
Freddy Flores-Bahamonde
Samir Kouro
Jose Rodriguez
author_facet Diana Lopez-Caiza
Hugues Renaudineau
Nicolas Muller
Freddy Flores-Bahamonde
Samir Kouro
Jose Rodriguez
author_sort Diana Lopez-Caiza
collection DOAJ
description Photovoltaic (PV) microinverters have grown rapidly in the small-scale PV market, where typical two-stage converters are used to connect one PV module to the single-phase AC grid. This configuration achieves better performance in terms of energy yield compared with other PV configurations. However, the conversion efficiency of a two-stage system is the main drawback, especially when a high-voltage gain effort is required. In this context, single-stage microinverter topologies have been recently proposed since only one power conversion stage is required to extract the maximum power of the PV module and inject the AC power to the grid. This single-stage configuration allows considerable improvement of the overall efficiency of microinverters by reducing the number of elements in the system. However, the main challenge of these topologies is their control, since all variables of the converter are composed by the AC waveform with DC-bias. In this paper, four control strategies are analyzed for the mainstream single-stage topology, which is the dual-boost inverter (DBI). Classical linear control and three non-linear strategies, namely finite control set–model predictive control, flatness-based control, and sliding mode control, are detailed. The main contribution of this work is a complete comparison of the control strategies, to give insights into the most suitable control strategy for the DBI in PV microinverter application.
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spelling doaj.art-5a41b68768974313adb407ea7e8b5d752023-11-23T15:25:12ZengMDPI AGApplied Sciences2076-34172022-06-011212595210.3390/app12125952Dual-Boost Inverter for PV Microinverter Application—An Assessment of Control StrategiesDiana Lopez-Caiza0Hugues Renaudineau1Nicolas Muller2Freddy Flores-Bahamonde3Samir Kouro4Jose Rodriguez5Department of Engineering Sciences, Universidad Andres Bello, Santiago 7500971, ChileElectronics Engineering Department, Universidad Técnica Federico Santa María, Valparaíso 2390123, ChileFaculty of Engineering Sciences, Universidad Austral de Chile, Valdivia 5110566, ChileDepartment of Engineering Sciences, Universidad Andres Bello, Santiago 7500971, ChileElectronics Engineering Department, Universidad Técnica Federico Santa María, Valparaíso 2390123, ChileFaculty of Engineering, Universidad San Sebastian, Santiago 8420524, ChilePhotovoltaic (PV) microinverters have grown rapidly in the small-scale PV market, where typical two-stage converters are used to connect one PV module to the single-phase AC grid. This configuration achieves better performance in terms of energy yield compared with other PV configurations. However, the conversion efficiency of a two-stage system is the main drawback, especially when a high-voltage gain effort is required. In this context, single-stage microinverter topologies have been recently proposed since only one power conversion stage is required to extract the maximum power of the PV module and inject the AC power to the grid. This single-stage configuration allows considerable improvement of the overall efficiency of microinverters by reducing the number of elements in the system. However, the main challenge of these topologies is their control, since all variables of the converter are composed by the AC waveform with DC-bias. In this paper, four control strategies are analyzed for the mainstream single-stage topology, which is the dual-boost inverter (DBI). Classical linear control and three non-linear strategies, namely finite control set–model predictive control, flatness-based control, and sliding mode control, are detailed. The main contribution of this work is a complete comparison of the control strategies, to give insights into the most suitable control strategy for the DBI in PV microinverter application.https://www.mdpi.com/2076-3417/12/12/5952photovoltaic energysingle-stage topologiesPV microinverterFCS–model predictive controlflatness-based controlsliding mode control
spellingShingle Diana Lopez-Caiza
Hugues Renaudineau
Nicolas Muller
Freddy Flores-Bahamonde
Samir Kouro
Jose Rodriguez
Dual-Boost Inverter for PV Microinverter Application—An Assessment of Control Strategies
Applied Sciences
photovoltaic energy
single-stage topologies
PV microinverter
FCS–model predictive control
flatness-based control
sliding mode control
title Dual-Boost Inverter for PV Microinverter Application—An Assessment of Control Strategies
title_full Dual-Boost Inverter for PV Microinverter Application—An Assessment of Control Strategies
title_fullStr Dual-Boost Inverter for PV Microinverter Application—An Assessment of Control Strategies
title_full_unstemmed Dual-Boost Inverter for PV Microinverter Application—An Assessment of Control Strategies
title_short Dual-Boost Inverter for PV Microinverter Application—An Assessment of Control Strategies
title_sort dual boost inverter for pv microinverter application an assessment of control strategies
topic photovoltaic energy
single-stage topologies
PV microinverter
FCS–model predictive control
flatness-based control
sliding mode control
url https://www.mdpi.com/2076-3417/12/12/5952
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