Eigenvalue stability analysis of DFIG based DlgSILENT PowerFactory wind energy model using MATLAB

Abstract

For doubly-fed induction generator (DFIG) based wind turbine connected to power grid the small-signal stability should be analyzed properly for facilitating the damping strategy design. In this paper, the small-signal stability of DFIG based wind energy model has been analyzed by using a linearized technique for calculating eigenvalues theoretically and also by programming technique using MATLAB to verify the results to analyze the stability of wind energy converter (WEC) model. Based on the federate small-signal model, eigenvalue analysis results are used for determining the relationship between state variables and different oscillation modes through the calculation of participation factors. With the analysis of this model, the evolve small-signal model can determine all the types of oscillating modes of DFIG connected to the grid, which are low and high-frequency oscillation, counting frequency and damping ratio of every oscillation mode. Different control parameters values of the small-signal model can impact frequency and the damping ratio of oscillation modes, which are the basis for an advanced study about damping strategy. Some control parameters values variation influence has been studied which shows how these factors impact on eigenvalues to affect oscillation mode.