EMTP implementation and analysis of nonlinear load models

Nonlinear, highly varying loads in power systems can cause undesirable cond itions. such as flicker and harmonics. Detailed models are needed to study ways to mitigate the impact of these loads in the power system. Numerous st udies rely on stochastic techniques to model nonlinear loads. Two alternati ve models are proposed in this paper: a chaos-based model and an artificial neural network model. The output data from both models are used in an elec tromagnetic transients program (EMTP) study. The performance of both models is compared in terms of how well they describe the impact of art electric arc furnace in the rest of the system. Applications for the models are disc ussed.