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Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System
Joint Authors
Li, Junwei
Tang, Yafang
Li, Junke
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
LCL-type converters are widely used in grid-connected systems due to their small size and good filtering performance.
However, the resonance suppression problem brought by the LCL filter cannot be ignored.
The capacitive current feedback is a commonly used resonance suppression method.
In applications, the grid impedance can cause LCL filter resonance.
Thus, this paper presents an adaptive resonance suppression method based on the RBF network optimized by particle swarm optimization.
This method optimizes the initial parameters of the RBF network through particle swarm optimization, identifies the parameters of the PI controller by RBF neural network’s own identification capability, and updates the active damping coefficient based on constraints such as stability margin, thereby realizing the LCL-type inverter to maintain the system stability when the grid impedance changes.
The effectiveness of the method is verified by experiments.
American Psychological Association (APA)
Li, Junwei& Tang, Yafang& Li, Junke. 2020. Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System. Journal of Electrical and Computer Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1183855
Modern Language Association (MLA)
Li, Junwei…[et al.]. Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System. Journal of Electrical and Computer Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1183855
American Medical Association (AMA)
Li, Junwei& Tang, Yafang& Li, Junke. Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System. Journal of Electrical and Computer Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1183855
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183855