Common-Mode Voltage Reduction Algorithm for Photovoltaic Grid-Connected Inverters with Virtual-Vector Model Predictive Control
Model predictive control (MPC) has been proven to offer excellent model-based, highly dynamic control performance in grid converters. The increasingly higher power capacity of a PV inverter has led to the industrial preference of adopting higher DC voltage design at the PV array (e.g., 750–1500 V)....
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2021
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oai:doaj.org-article:86ee91b1f481446f8a1e90a7c27baf092021-11-11T15:37:52ZCommon-Mode Voltage Reduction Algorithm for Photovoltaic Grid-Connected Inverters with Virtual-Vector Model Predictive Control10.3390/electronics102126072079-9292https://doaj.org/article/86ee91b1f481446f8a1e90a7c27baf092021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2607https://doaj.org/toc/2079-9292Model predictive control (MPC) has been proven to offer excellent model-based, highly dynamic control performance in grid converters. The increasingly higher power capacity of a PV inverter has led to the industrial preference of adopting higher DC voltage design at the PV array (e.g., 750–1500 V). With high array voltage, a single stage inverter offers advantages of low component count, simpler topology, and requiring less control tuning effort. However, it is typically entailed with the issue of high common-mode voltage (CMV). This work proposes a virtual-vector model predictive control method equipped with an improved common-mode reduction (CMR) space vector pulse width modulation (SVPWM). The modulation technique essentially subdivides the hexagonal voltage vector space into 18 sub-sectors, that can be split into two groups with different CMV properties. The proposal indirectly increases the DC-bus utilization and extends the overall modulation region with improved CMV. The comparison with the virtual-vector MPC scheme equipped with the conventional SVPWM suggests that the proposed technique can effectively suppress 33.33% of the CMV, and reduce the CMV toggling frequency per fundamental cycle from 6 to either 0 or 2 (depending on which sub-sector group). It is believed that the proposed control technique can help to improve the performance of photovoltaic single-stage inverters.Hui Hwang GohXinyi LiChee Shen LimDongdong ZhangWei DaiTonni Agustiono KurniawanKai Chen GohMDPI AGarticlecommon-mode voltagedelayinvertersmulti-step model predictive controlnon-zero vectorspace vector pulse width modulationElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2607, p 2607 (2021) |
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common-mode voltage delay inverters multi-step model predictive control non-zero vector space vector pulse width modulation Electronics TK7800-8360 |
spellingShingle |
common-mode voltage delay inverters multi-step model predictive control non-zero vector space vector pulse width modulation Electronics TK7800-8360 Hui Hwang Goh Xinyi Li Chee Shen Lim Dongdong Zhang Wei Dai Tonni Agustiono Kurniawan Kai Chen Goh Common-Mode Voltage Reduction Algorithm for Photovoltaic Grid-Connected Inverters with Virtual-Vector Model Predictive Control |
description |
Model predictive control (MPC) has been proven to offer excellent model-based, highly dynamic control performance in grid converters. The increasingly higher power capacity of a PV inverter has led to the industrial preference of adopting higher DC voltage design at the PV array (e.g., 750–1500 V). With high array voltage, a single stage inverter offers advantages of low component count, simpler topology, and requiring less control tuning effort. However, it is typically entailed with the issue of high common-mode voltage (CMV). This work proposes a virtual-vector model predictive control method equipped with an improved common-mode reduction (CMR) space vector pulse width modulation (SVPWM). The modulation technique essentially subdivides the hexagonal voltage vector space into 18 sub-sectors, that can be split into two groups with different CMV properties. The proposal indirectly increases the DC-bus utilization and extends the overall modulation region with improved CMV. The comparison with the virtual-vector MPC scheme equipped with the conventional SVPWM suggests that the proposed technique can effectively suppress 33.33% of the CMV, and reduce the CMV toggling frequency per fundamental cycle from 6 to either 0 or 2 (depending on which sub-sector group). It is believed that the proposed control technique can help to improve the performance of photovoltaic single-stage inverters. |
format |
article |
author |
Hui Hwang Goh Xinyi Li Chee Shen Lim Dongdong Zhang Wei Dai Tonni Agustiono Kurniawan Kai Chen Goh |
author_facet |
Hui Hwang Goh Xinyi Li Chee Shen Lim Dongdong Zhang Wei Dai Tonni Agustiono Kurniawan Kai Chen Goh |
author_sort |
Hui Hwang Goh |
title |
Common-Mode Voltage Reduction Algorithm for Photovoltaic Grid-Connected Inverters with Virtual-Vector Model Predictive Control |
title_short |
Common-Mode Voltage Reduction Algorithm for Photovoltaic Grid-Connected Inverters with Virtual-Vector Model Predictive Control |
title_full |
Common-Mode Voltage Reduction Algorithm for Photovoltaic Grid-Connected Inverters with Virtual-Vector Model Predictive Control |
title_fullStr |
Common-Mode Voltage Reduction Algorithm for Photovoltaic Grid-Connected Inverters with Virtual-Vector Model Predictive Control |
title_full_unstemmed |
Common-Mode Voltage Reduction Algorithm for Photovoltaic Grid-Connected Inverters with Virtual-Vector Model Predictive Control |
title_sort |
common-mode voltage reduction algorithm for photovoltaic grid-connected inverters with virtual-vector model predictive control |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/86ee91b1f481446f8a1e90a7c27baf09 |
work_keys_str_mv |
AT huihwanggoh commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol AT xinyili commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol AT cheeshenlim commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol AT dongdongzhang commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol AT weidai commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol AT tonniagustionokurniawan commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol AT kaichengoh commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol |
_version_ |
1718434870131163136 |