scholarly journals Impedance Decomposition for Design-Oriented Analysis of Grid-Forming Voltage-Source Converters

2020 ◽  
Author(s):  
Yicheng Liao ◽  
xiongfei wang
Keyword(s):  
Stability Analysis ◽  
Controller Design ◽  
System Stability ◽  
Voltage Source ◽  
Voltage Source Converters ◽  
Multiple Control ◽  
Decomposition Approach ◽  
Control Loops ◽  
Nyquist Stability ◽  
Impedance Decomposition

<p>Grid-forming voltage-source converters (VSCs) tend to suffer from sideband oscillations in stiff grids. Conventional state-space eigenvalue analysis or impedance-based stability analysis based on generalized Nyquist stability criterion can only analyze how specific control parameters affect the overall system stability, which ends up with less insight into a controller design-oriented analysis. To tackle this challenge, this article starts with the impedance modeling and stability analysis of grid-forming VSCs in stiff grids. Then, an impedance decomposition approach to characterizing the impacts of multiple control loops is proposed, which benefits in a controller design-oriented analysis for stability enhancement. Finally, simulation and experimental results are provided to validate the approach.</p>

scholarly journals Impedance Decomposition for Design-Oriented Analysis of Grid-Forming Voltage-Source Converters

2020 ◽  
Author(s):  
Yicheng Liao ◽  
xiongfei wang
Keyword(s):  
Stability Analysis ◽  
Controller Design ◽  
System Stability ◽  
Voltage Source ◽  
Voltage Source Converters ◽  
Multiple Control ◽  
Decomposition Approach ◽  
Control Loops ◽  
Nyquist Stability ◽  
Impedance Decomposition

<p>Grid-forming voltage-source converters (VSCs) tend to suffer from sideband oscillations in stiff grids. Conventional state-space eigenvalue analysis or impedance-based stability analysis based on generalized Nyquist stability criterion can only analyze how specific control parameters affect the overall system stability, which ends up with less insight into a controller design-oriented analysis. To tackle this challenge, this article starts with the impedance modeling and stability analysis of grid-forming VSCs in stiff grids. Then, an impedance decomposition approach to characterizing the impacts of multiple control loops is proposed, which benefits in a controller design-oriented analysis for stability enhancement. Finally, simulation and experimental results are provided to validate the approach.</p>

SISO Transfer Functions for Stability Analysis of Grid-Connected Voltage-Source Converters

2019 ◽  
Vol 55 (3) ◽  
pp. 2931-2941 ◽  
Author(s):  
Hongyang Zhang ◽  
Xiongfei Wang ◽  
Lennart Harnefors ◽  
Hong Gong ◽  
Jean-Philippe Hasler ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Transfer Functions ◽  
Voltage Source ◽  
Voltage Source Converters

scholarly journals Transfer Learning based Impedance Identification of Voltage Source Converters

2021 ◽  
Author(s):  
Mengfan Zhang ◽  
xiongfei wang ◽  
Qianwen Xu
Keyword(s):  
Transfer Learning ◽  
Internal Control ◽  
Industrial Applications ◽  
Black Box ◽  
System Stability ◽  
Voltage Source ◽  
Voltage Source Converters ◽  
Impedance Model ◽  
Comparison Results ◽  
Stability Method

The black-box impedance of the voltage source converters (VSCs) can be directly identified at the converter terminal without access to its internal control details, which greatly facilitates the converter-grid interactions. However, since the limited impedance data amount in practical industrial applications, the existing impedance identification methods cannot accurately capture characteristics of the impedance model at various operating scenarios, which is the indicators of the VSCs system stability at the changing profiles of renewables and loads. In this paper, a transfer learning based impedance identification is proposed to fill this research gap. This method can significantly reduce the required data amount used in impedance identification so that the black-box impedance-based stability method could be applied for the practical industrial application. The comparison results confirm the accuracy of the impedance model obtained by this transfer learning based impedance identification method.

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