Nombre del libro
- Applications of Computational Intelligence - First IEEE Colombian Conference, ColCACI 2018, Medellín, Colombia, May 16–18, 2018, Revised Selected Papers
Discrimination of nonlinear loads in electric energy generation systems using harmonic information Capítulo
Perfil
editorial
- Springer
Autor
- Héctor Iván Tangarife Escobar
- Juan de Dios Fuentes Velandia
Resumen
- This paper contains a proposal to determine the kind of nonlinear load when are connected to the solar or conventional generation system. A database was built with sampled signals extracted from the photovoltaic system of the National Learning Service (SENA) in Bogota, Colombia. The used methodology has an acquisition system of voltage signals, and then, information from harmonic distortion was employed to identify the nonlinear loads. An artificial neural network was implemented to discriminate appliances with supervised learning. Two proposals were implemented. First one was based on energy information and second one was worked with wave peaks information. Results show that a classification rate of 95% could be reached in a problem with eight classes.
autores
-
http://vivoweb.org/ontology/core#FacultyMemberOrjuela Cañón, Alvaro David
fecha de publicación
- 2018-1-1
Área temática
Identidad
Identificador de objeto digital (DOI)
Número Estándar Internacional de Libros (ISBN)
- 9783030030223
Información adicional de documento
Número de páginas
- 12
Página inicial
- 63
Última página
- 74