Toto Sukisno, Nurhayadi, Agus Maman Abadi, Aulia Kahfi
Transformer losses are one of the factors to be considered in the distribution of electrical energy. In the Special Region of Yogyakarta, there are 12 transformers with a capacity of 60 MVA to meet the electrical energy needs of PLN in Yogyakarta area. This study aims to determine the transformer losses of each substation transformer in the Special Region of Yogyakarta by using the Mamdani and zero order Sugeno fuzzy systems. To construct fuzzy systems, the data are taken from PLN in Special Region of Yogyakarta. The input variables of Mamdani model are current R, current S, current T, and transformer voltage. The output of Mamdani model is transformer loading percentage. Then, output of Mamdani model is used as input of zero order Sugeno model to get the efficiency value of transformer and then, the transformer losses are determined. The results are that loading percentage, efficiency value, and losses of each transformer have been determined. Furthermore, the results show that the model accuracy of transformer losses was 84.1% for training data and 82.74% for testing data. Based on all data, the greatest average of transformer losses occurs at transformer I Bantul, while transformer II Wates has the smallest average transformer losses. © 2024 AIP Publishing LLC.
Department of Electrical Engineering Education, Faculty of Engineering, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia; Department of Mathematics Education, Faculty of Mathematics and Natural Sciences, Universitas Tadulako. University, Indonesia; Department of Mathematics Education, Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia
