A Novel Approach For Fault Detection And Its Analysis For Grid Connected Doubly Fed Induction Generators

摘要

Because of the intermittent nature of wind, its integration to the power system is still promising under fault condition with respect to power quality and stability. For the large penetration of wind energy, this study using an embedded time-frequency localization features in wavelet, provides deep insight to the character of transient signals for a proposed test system comprising 1 thermal plant and 3 DFIG-based wind plants. The test system results are analyzed onto the wavelet format for accurate detection and better resolution of the characters of transients. This is found that the presence of lower frequency bandwidth signals and larger magnitude wavelet coefficients are the root cause information for the stability and quality.