Estimación Paramétrica del Modelo de Carga de Recuperación Exponencial Utilizando Mediciones Sincrofasoriales

The accurate representation of the dynamic behavior of loads, as well as the capture of the temporal variability of their parameters, is currently a fundamental aspect in the analysis and operation of power systems. To this end, automatic and online load modeling methodologies and dynamic load models are used, and the advantages of synchrophasor measurements are exploited. One of the models proposed in the literature is the Exponential Recovery Load (ERL), which allows not only the static behavior of loads to be represented, but also the exponential recovery dynamics of the load when voltage disturbances occur. However, the parametric identification process of this model has been superficially addressed in previous studies. That is why this work research this process comprehensively, from determining the most appropriate optimization algorithm, with a focus on automatic and online load modeling based on synchrophasor measurements, to characterizing the minimum conditions that synchrophasor measurements must meet in order to ensure accurate estimates of the ERL model.