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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Autores principales: Hui Hwang Goh, Xinyi Li, Chee Shen Lim, Dongdong Zhang, Wei Dai, Tonni Agustiono Kurniawan, Kai Chen Goh
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/86ee91b1f481446f8a1e90a7c27baf09
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic 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
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AT cheeshenlim commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol
AT dongdongzhang commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol
AT weidai commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol
AT tonniagustionokurniawan commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol
AT kaichengoh commonmodevoltagereductionalgorithmforphotovoltaicgridconnectedinverterswithvirtualvectormodelpredictivecontrol
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