Autor según el artículo: Karar Mahmoud; Mohamed Abdel-Nasser; Heba Kashef; Domenec Puig; Matti Lehtonen
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Abdelnasser Mohamed Mahmoud, Mohamed
Palabras clave: Power Machine learning photovoltaics neural networks large-scale unbalanced distribution system energy loss
Resumen: In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze large-scale distribution systems with a fast-computational speed. In this paper, we propose an efficient method for performing time-series simulations for unbalanced power distribution systems with PV. Unlike the existing iterative methods, the proposed method is based on machine learning. Specifically, we propose a fast, reliable and accurate method for determining energy losses in distribution systems with PV. The proposed method is applied to a large-scale unbalanced distribution system (the IEEE 906 Bus European LV Test Feeder) with PV grid-connected units. The method is validated using OpenDSS software. The results demonstrate the high accuracy and computational performance of the proposed method.
Áreas temáticas: Statistics and probability Signal processing Linguística e literatura Interdisciplinar Engenharias iv Educação Computer vision and pattern recognition Computer science, interdisciplinary applications Computer science, artificial intelligence Computer science applications Computer networks and communications Ciência da computação Artificial intelligence
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: mohamed.abdelnasser@urv.cat
Identificador del autor: 0000-0002-1074-2441
Fecha de alta del registro: 2024-09-07
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: International Journal Of Interactive Multimedia And Artificial Intelligence. 6 (4): 157-163
Referencia de l'ítem segons les normes APA: Karar Mahmoud; Mohamed Abdel-Nasser; Heba Kashef; Domenec Puig; Matti Lehtonen (2020). Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics. International Journal Of Interactive Multimedia And Artificial Intelligence, 6(4), 157-163. DOI: 10.9781/ijimai.2020.08.002
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2020
Tipo de publicación: Journal Publications
Repositori URV