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Automated Parameter Identification and Calibration for the Itaipu Power Generation System using Modelica, FMI, and RaPId

Power system modeling and simulation are essential tools in the power industry. System models allow for the understanding system operations, perform system planning studies, and help identifying and correcting problems within the system. The error between models and physical system response must be minimized to ensure that that simulations used in studies provide an accurate representation of the power system. Phasor measurement data can be used to calibrate models and reduce modeling errors. In this paper this process is automated for the Itaipu system using RaPId, a software tool that integrates measurements, models in Modelica/FMI standards, and optimization routines. This is achieved by using a classical gradient optimization method to calibrate parameters to the phasor measurements. Two calibration methods are presented here, where parameters of a synchronous generator, automatic voltage regulator, and power system stabilizer are estimated.