Abstract
This paper presents the binary search algorithm (BSA)-based performance analysis of the three-phase self-excited induction generator (SEIG). The generator is modeled as two-port network. By isolating the magnetizing reactance branch for the modeling of three-phase SEIG, BSA is applied to determine the value of generated per unit frequency of model equation which is important part of theoretical performance analysis of SEIG. The waveforms of generated voltages and currents in the generator are also examined, and their corresponding harmonic contents are recorded. To validate the study of SEIG using BSA, an experimental setup is established, and the simulated results are verified with the experimental results, which show a close match between both the results. The analysis of the behavior of three-phase SEIG using BSA is easier, more efficient, and accurate.
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