Abstract
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.