Innovative approach for the analysis of electromagnetic transients generated by the integration of distributed energy resources in power systems

This article presents a set of methods for the extraction of features from transient events in power systems, using EMT (Electromagnetic Transients) simulations. The main approach is based on the application of the wavelet transform to transient signals, allowing for the analysis and characterization of various types of transient events. Based on the information obtained from the wavelet transform, specific methods such as impedance analysis, energy, peaks, and selectivity indices are developed and applied. These methods provide useful tools for the identification and classification of transient events, constituting a basis for the characterization of various types of disturbances in power systems. The techniques developed enabled the extraction of unique and distinguishing features of photovoltaic resources, which can later be applied to non-intrusive monitoring of these systems.