Algoritmo de optimización para sistema de gestión eléctrica inteligente

IF 0.1 Q4 ENGINEERING, MULTIDISCIPLINARY
Ingenieria Pub Date : 2020-06-02 DOI:10.15517/ri.v30i2.40598
José David Murillo Rodríguez
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引用次数: 0

Abstract

espanolMediante un algoritmo de optimizacion, se muestra el comportamiento de una gestion electrica inteligente basado en la combinacion multiagente de almacenamiento y energia alternativa. El algoritmo de control se concibe a traves de una optimizacion del flujo energetico de una residencia. Con datos reales de consumo y generacion prevista la optimizacion fija un limite de ahorro del 93% respecto a un sistema tradicional sin gestion electrica. De acuerdo al flujo energetico y bajo las mismas condiciones de optimizacion, se comprueba el funcionamiento del algoritmo, el cual permite acercarse al limite y lograr un 86% de ahorro. EnglishThrough an optimization algorithm, the behavior of intelligent electrical management based on the multiagent combination of storage and alternative energy is shown. The control algorithm is conceived altogether with the optimization and the energy flow of a residence. With real consumption and expected generation data, the optimization sets a savings limit of 93% compared to a traditional system without electrical management. According to the energy flow and under the same optimization conditions, the operation of the algorithm is verified and the results approach the limit and achieve savings of 86%.
智能电力管理系统的优化算法
西班牙通过一种优化算法,展示了基于多Agent存储和替代能源组合的智能电力管理的行为。该控制算法是通过优化住宅的能量流动来设计的。与没有电气管理的传统系统相比,根据实际消耗和计划发电数据,优化设定了93%的节能限制。根据能量流,在相同的优化条件下,对算法的性能进行了检查,使其接近极限,节省了86%。通过一种优化算法,展示了基于存储和替代能源多智能体组合的智能电气管理行为。控制算法是与住宅的优化和能量流动一起设计的。与没有电气管理的传统系统相比,有了实际消耗量和预期的发电数据,优化设定了93%的节约限额。根据能量流,在相同的优化条件下,验证了算法的运行,结果接近极限,节省了86%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ingenieria
Ingenieria ENGINEERING, MULTIDISCIPLINARY-
CiteScore
0.70
自引率
25.00%
发文量
33
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