[19a-PB2-1~39] 11 Superconductivity (Poster)

[19a-PB2-32] Estimation of Machine Parameter in Superconducting Transformer using the Differential Evolution

〇Tomohiro Yonenaka¹, Tatsuki Muraoka¹, Yuto Ichiki¹, Soji Otabe¹, Yoshitaka Tokunaga² (1.Kyushu Inst. of Tech., 2.Okayama Pref. Univ.)

Keywords:superconducting transformer, machine parameter, algorithm

The machine parameter were estimated to predict the inrush current of the superconducting transformer. In the previous researches, although estimation was made by genetic algorithm, some parts with lower estimation accuracy were seen compared with the measurement result. Therefore, in this study, we estimated using the differential evolution. As a result, we have succeeded in improving the estimation accuracy and shortening the calculation time as compared to the genetic algorithm.