Time-domain Post-Treatment Methods for PRBS-Based Impedance Identification Using Power Electronics Converters

Abstract

Online impedance identification has become an useful tool for stability assessment in the context of multi-power-converter systems, specially when the identification can be performed by the converters themselves. This work proposes and thoroughly analyses two time-domain-based post-treatment methods to be employed with the cross-correlation identification technique, which relies on the injection of pseudorandom binary sequences. Details on the post-treatment algorithms are given, and the methods are compared through simulation and experimental results.