LAPSE:2018.0782
Published Article
LAPSE:2018.0782
Enhanced Predictive Current Control of Three-Phase Grid-Tied Reversible Converters with Improved Switching Patterns
Zhanfeng Song, Yanjun Tian, Zhe Chen, Yanting Hu
October 23, 2018
A predictive current control strategy can realize flexible regulation of three-phase grid-tied converters based on system behaviour prediction and cost function minimization. However, when the predictive current control strategy with conventional switching patterns is adopted, the predicted duration time for voltage vectors turns out to be negative in some cases, especially under the conditions of bidirectional power flows and transient situations, leading to system performance deteriorations. This paper aims to clarify the real reason for this phenomenon under bidirectional power flows, i.e., rectifier mode and inverter mode, and, furthermore, seeks to propose effective solutions. A detailed analysis of instantaneous current variations under different conditions was conducted. An enhanced predictive current control strategy with improved switching patterns was then proposed. An experimental platform was built based on a commercial converter produced by Danfoss, and moreover, relative experiments were carried out, confirming the superiority of the proposed scheme.
Keywords
bidirectional power flow, cost function minimization, improved switching pattern, predictive control, three-phase grid-tied converters
Suggested Citation
Song Z, Tian Y, Chen Z, Hu Y. Enhanced Predictive Current Control of Three-Phase Grid-Tied Reversible Converters with Improved Switching Patterns. (2018). LAPSE:2018.0782
Author Affiliations
Song Z: Department of Electrical Engineering and Automation, Tianjin University, Tianjin 30072, China
Tian Y: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Chen Z: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Hu Y: Faculty of Science and Engineering, University of Chester, Chester CH1 4BJ, UK
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Journal Name
Energies
Volume
9
Issue
1
Article Number
E41
Year
2016
Publication Date
2016-01-13
Published Version
ISSN
1996-1073
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PII: en9010041, Publication Type: Journal Article
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LAPSE:2018.0782
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doi:10.3390/en9010041
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Oct 23, 2018
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Oct 23, 2018
 
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Calvin Tsay
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