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http://hdl.handle.net/2183/31482 Algoritmo de control para la gestión óptima de los excedentes energéticos de una instalación de autoconsumo renovable. Un enfoque preliminar
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Álvarez, Carlos
Velazquez-Medina, Sergio
Cabrera, Pedro
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Álvarez C., Velázquez S., Cabrera P. Algoritmo de control para la gestión óptima de los excedentes energéticos de una instalación de autoconsumo renovable. Un enfoque preliminar. XLIII Jornadas de Automática: libro de actas, pp.629-637. https://doi.org/10.17979/spudc.9788497498418.0629
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Abstract
[Resumen] En este trabajo se presenta y se analiza una primera aproximación de un algoritmo cuyo objetivo final es optimizar técnica y económicamente la gestión de los excedentes energéticos de una instalación de autoconsumo renovable. Para ello, y como variables adicionales de control, se han considerado el coste de la energía comprada al sistema por la instalación, así como el precio del pool energético en la venta de los excedentes. El algoritmo se ha implementado en LabVIEW y simulado en MATLAB, lo que ha permitido obtener unos resultados preliminares que facilitan la tarea de mejora del algoritmo para futuros trabajos y versiones de este.
[Abstract] This paper presents and analyzes a first approximation of an algorithm whose goal is to technically and economically optimize the management of energy surpluses from a renewable self-consumption installation. For this, and as additional control variables, the cost of the energy purchased from the system by the installation has been considered, as well as the price of the energy pool in the sale of surpluses. The algorithm has been implemented in LabVIEW and simulated in MATLAB, which has allowed obtaining preliminary results that facilitate the task of improving the algorithm for future works and versions of it.
[Abstract] This paper presents and analyzes a first approximation of an algorithm whose goal is to technically and economically optimize the management of energy surpluses from a renewable self-consumption installation. For this, and as additional control variables, the cost of the energy purchased from the system by the installation has been considered, as well as the price of the energy pool in the sale of surpluses. The algorithm has been implemented in LabVIEW and simulated in MATLAB, which has allowed obtaining preliminary results that facilitate the task of improving the algorithm for future works and versions of it.
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Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es


