Aplicación de herramientas de aprendizaje de máquina en la determinación de fuerzas electromagnéticas en los devanados de transformadores de distribución para casos con corriente de excitación despreciable: diseño de un modelo basado en máquinas de soporte vectorial para la determinación de las fuerzas electromagnéticas en los devanados.

Abstract

The electromagnetic forces produced in the windings of distribution transformers due to current circulation can cause damage to the winding when the current increases its value, as in the case of a short-circuit current. This Curricular Integration Work focuses on the application of machine learning tools in the determination of electromagnetic forces in the windings of distribution transformers, using the Python programming language with the support vector machine algorithm as a tool. Part of the process for determining the electromagnetic forces, the development of a simplified design of a distribution transformer is presented, which was used to find the parameters of the conductor that make up the transformer windings, where the electromechanical forces to which it will be subjected will be present. Mention is also made of the process of determining the electromagnetic forces using the analysis by the Finite Element Method, whose application has been detailed in the methodology of this document, because it allows a database to be obtained, which will be used to train the machine learning algorithm in the Python programming language. Finally, the proper functioning of the algorithm is analyzed by means of the results obtained in the determination of the electromagnetic forces and compared with the result obtained by means of the finite element method.