Nonlinear, highly varying loads in power systems can cause undesirable conditions, such as flicker and harmonics. Detailed models are needed to study ways to mitigate the impact of these loads in the power system. Numerous studies rely on stochastic techniques to model nonlinear loads. Two alternative 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 electromagnetic transients program (EMTP) study. The performance of both models is compared in terms of how well they describe the impact of an electric are furnace in the rest of the system. Applications for the models are discussed.
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Mechanical Engineering
- Electrical and Electronic Engineering