Online parameter identification and generic modeling derivation of a dynamic load model in distribution grids

The advent of smart grids and the installation of phasor measurement units in the distribution network have renewed the interest on the measurement-based load modeling approach. In this paper, a real-time load modeling and identification procedure of the well-known exponential recovery dynamic load model using synchrophasor data is presented. The performance of the proposed method is evaluated using measurements recorded in a low-voltage laboratory scale test rig. Several parameters of the procedure are investigated to evaluate the applicability of the method under real world conditions, including the impact of filtering techniques, outlier rejection, model optimization algorithms, etc. The findings of this paper verify the validity of the proposed method for realtime applications.