Nonlinear deterministic modeling of highly varying loads

Typically, the modeling of highly varying, nonlinear loads such as electric are furnaces has involved stochastic techniques. This paper presents the u se of chaotic dynamics to describe the operation of nonlinear loads. Includ ed is a discussion of the Lyapunov exponents, a measure of chaotic behavior . The alternate approach is applied to electric are furnaces. A tuning mode is described to develop the parameters of a chaotic model. This model is t rained to have time and frequency responses that are tuned to match the cur rent from the are furnace under study. The simulated data are compared to a ctual are furnace data to validate the model. This model is used to assess the impact of various highly varying nonlinear loads that exhibit chaos in power systems.