LAPSE:2019.0765
Published Article
LAPSE:2019.0765
Modeling and Analysis of Resonance in LCL-Type Grid-Connected Inverters under Different Control Schemes
Yanxue Yu, Haoyu Li, Zhenwei Li, Zhou Zhao
July 26, 2019
As a basic building block in power systems, the three-phase voltage-source inverter (VSI) connects the distributed energy to the grid. For the inductor-capacitor-inductor (LCL)-filter three-phase VSI, according to different current sampling position and different reference frame, there mainly exist four control schemes. Different control schemes present different impedance characteristics in their corresponding determined frequency range. To analyze the existing resonance phenomena due to the variation of grid impedances, the sequence impedance models of LCL-type grid-connected three-phase inverters under different control schemes are presented using the harmonic linearization method. The impedance-based stability analysis approach is then applied to compare the relative stability issues due to the impedance differences at some frequencies and to choose the best control scheme and the better controller parameters regulating method for the LCL-type three-phase VSI. The simulation and experiments both validate the resonance analysis results.
Keywords
different control schemes, impedance, LCL-type grid-connected inverters, resonance analysis
Suggested Citation
Yu Y, Li H, Li Z, Zhao Z. Modeling and Analysis of Resonance in LCL-Type Grid-Connected Inverters under Different Control Schemes. (2019). LAPSE:2019.0765
Author Affiliations
Yu Y: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Li H: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Li Z: College of Automation & Electronic Engineering, Qingdao University of Science & Technology; Qingdao 266000, China
Zhao Z: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
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Journal Name
Energies
Volume
10
Issue
1
Article Number
E104
Year
2017
Publication Date
2017-01-16
Published Version
ISSN
1996-1073
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PII: en10010104, Publication Type: Journal Article
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LAPSE:2019.0765
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doi:10.3390/en10010104
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Jul 26, 2019
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Jul 26, 2019
 
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Calvin Tsay
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