A neural networks-based method for single-phase harmonic content identification

A neural method is presented in this paper to identify the harmonic components of an AC controller. The components are identified by analyzing the single-phase current waveform. The method effectiveness is verified by applying it to an active power filter (APF) model dedicated to the selective harmonic compensation. Simulation results using theoretical and experimental data are presented to validate the proposed approach.