J. Quiroz, I. Soto, Esteban Toledo-Mercado, H. Chávez, Raul Zamorano-Illanes, Jonathan Pereira-Mendoza
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A non-linear regression model for inertia identification using synchrophasors and Big Data
This work proposes a model for inertia identification of an electrical power system. A non-linear regression is used from a mathematical model that relates power and frequency variation, obtained from a synchrophasor network. Fitting of the non-linear regressions processed with Big Data, from the PMU and the different real generation contingencies, obtained from the national system operator, are presented.
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