Evaluation of losses in electrical subtransmission networks by neural network modeling

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Auteur principal: Álvaro Laurencio-Pérez
Format: Artículo científico
Langue:en
Publié: Universidad Nacional de Colombia 2022
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_version_ 1876490736282632192
author Álvaro Laurencio-Pérez
author_facet Álvaro Laurencio-Pérez
contents Evaluation of losses in electrical subtransmission networks by neural network modeling Álvaro Laurencio-Pérez Igor Pérez-Maliuk Olga Pérez-Maliuk Ingeniería network modeling Electric losses Determining technical losses in an electrical system is highly complex due to the large amount of information required for its evaluation. A solution to this problem is the evaluation of losses using an artificial neural network. In this work, a model for evaluating technical losses in subtransmission electrical networks was obtained by using artificial neural networks. This model considers the effective length of the circuit, the maximum apparent and active power, the resistance in the conductors and the number of clients connected to the circuit. The simulation results established a mean square error of 0.0028 and a correlation coefficient between the variables involved of 0.980. The proposed artificial neural network model resulted satisfactory for evaluating technical losses in electrical subtransmission networks. 2022 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49672735009 https://www.redalyc.org/journal/496/49672735009/ https://www.redalyc.org/journal/496/49672735009/html/ https://www.redalyc.org/journal/496/49672735009/49672735009.epub https://www.redalyc.org/journal/496/49672735009/movil 10.15446/dyna.v89n221.97552 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.221 Vol.89
format Artículo científico
id redalyc_49672735009
institution Redalyc
language en
publishDate 2022
publisher Universidad Nacional de Colombia
spellingShingle Evaluation of losses in electrical subtransmission networks by neural network modeling
Álvaro Laurencio-Pérez
Ingeniería
network
modeling
Electric losses
Evaluation of losses in electrical subtransmission networks by neural network modeling Álvaro Laurencio-Pérez Igor Pérez-Maliuk Olga Pérez-Maliuk Ingeniería network modeling Electric losses Determining technical losses in an electrical system is highly complex due to the large amount of information required for its evaluation. A solution to this problem is the evaluation of losses using an artificial neural network. In this work, a model for evaluating technical losses in subtransmission electrical networks was obtained by using artificial neural networks. This model considers the effective length of the circuit, the maximum apparent and active power, the resistance in the conductors and the number of clients connected to the circuit. The simulation results established a mean square error of 0.0028 and a correlation coefficient between the variables involved of 0.980. The proposed artificial neural network model resulted satisfactory for evaluating technical losses in electrical subtransmission networks. 2022 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49672735009 https://www.redalyc.org/journal/496/49672735009/ https://www.redalyc.org/journal/496/49672735009/html/ https://www.redalyc.org/journal/496/49672735009/49672735009.epub https://www.redalyc.org/journal/496/49672735009/movil 10.15446/dyna.v89n221.97552 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.221 Vol.89
title Evaluation of losses in electrical subtransmission networks by neural network modeling
topic Ingeniería
network
modeling
Electric losses
url https://www.redalyc.org/articulo.oa?id=49672735009
https://www.redalyc.org/journal/496/49672735009/
https://www.redalyc.org/journal/496/49672735009/html/
https://www.redalyc.org/journal/496/49672735009/49672735009.epub
https://www.redalyc.org/journal/496/49672735009/movil