A unified impedance model of voltage-source converters with phase-locked loop effect

2016 ◽  
Author(s):  
Xiongfei Wang ◽  
Lennart Harnefors ◽  
Frede Blaabjerg ◽  
Poh Chiang Loh
Keyword(s):  
Phase Locked Loop ◽  
Voltage Source ◽  
Voltage Source Converters ◽  
Impedance Model

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.

scholarly journals Unified Impedance Model of Grid-Connected Voltage-Source Converters

2018 ◽  
Vol 33 (2) ◽  
pp. 1775-1787 ◽  
Author(s):  
Xiongfei Wang ◽  
Lennart Harnefors ◽  
Frede Blaabjerg
Keyword(s):  
Voltage Source ◽  
Voltage Source Converters ◽  
Impedance Model

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.

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
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