Design-based computational procedure for performance prediction and analysis of single-phase self-excited induction generator

Abstract

The study presents a design-based computational procedure for determining the performance of a single-phase two-winding self-excited induction generator (SEIG) taking the machine design details as the input data. The magnetisation characteristic that forms the basis of analysis is obtained using the B-H curve of the core material and by employing an appropriate curve-fitting/regression technique that leads to obtain V_g-X_m variation from which V_g-X_m variation can be derived. The predicted parameters and performance characteristics of a single-phase SEIG are compared with the corresponding experimental results. This procedure can be a powerful tool for improved design of such machines. Effects of variation of typical design parameters on performance are presented to demonstrate its utility.