Single-phase autotransformer modelling and model parameter identification

This paper proposes a newly formed model for time-domain analysis of single-phase autotransformer based on superposition of collinear vectors. Parameters of the model are determined with parameter identification procedure presented as a step-by-step algorithm using two no-load states. Identification is completed by solving minimization of least squares using genetic algorithm. This procedure also verifies the model and returns the total relative error referred to effective current value under 10%. Saturation is taken into account with nonlinear transcendent functions that are differentiable in whole domain, while the hysteresis is neglected.