Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/113001
Title: Robust Tuning of Grid-Forming Converters Using Kharitonov Theorem
Author(s): Rehimi, Sharara
Bevrani, HassanLook up in the Integrated Authority File of the German National Library
Urabe, Chiyori
Kato, Takeyoshi
Kato, Toshiji
Granting Institution: Hochschule Anhalt
Issue Date: 2023
Language: English
Subjects: Kharitonov Theorem
Grid-Forming Converters
Robust Tuning
Modern Power Grids
Abstract: This paper presents a study on the robust tuning of damping coefficient, inertia, and conventional controller gains for a grid-forming converter connected to the main grid. The proposed method is evaluated using the Typhoon Hill system, which allows for comprehensive simulation and analysis. The Kharitonov theorem is utilized to achieve robustness in the face of deviations in line parameters. Unlike previous works, our approach systematically and graphically searches for a non-conservative Kharitonov region in the solution area of the controller coefficients. This region characterizes all stabilizing gain controllers that effectively stabilize an uncertain control structure. By selecting coefficients from the obtained non-conservative Kharitonov region, the synthesized controller effectively stabilizes the grid-forming converter. The results of this study highlight the efficacy of the Kharitonov theorem in achieving robust tuning of essential parameters for grid-forming converters, enhancing stability and performance in the presence of line parameter variations.
URI: https://opendata.uni-halle.de//handle/1981185920/114958
http://dx.doi.org/10.25673/113001
http://dx.doi.org/10.25673/113001
Open Access: Open access publication
License: (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0(CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0
Appears in Collections:International Conference on Applied Innovations in IT (ICAIIT)

Files in This Item:
File Description SizeFormat 
4_2_ICAIIT_Paper_2023(2)_Rehimi_33-1.pdf2.17 MBAdobe PDFThumbnail
View/Open