PLANEAMIENTO MULTIOBJETIVO DE SISTEMAS DE DISTRIBUCIÓN USANDO UN ALGORITMO EVOLUTIVO NSGA-II (MULTIOBJECTIVE DISTRIBUTION SYSTEM PLANNING USING AN NSGA-II EVOLUTIONARY ALGORITHM)
PLANEAMIENTO MULTIOBJETIVO DE SISTEMAS DE DISTRIBUCIÓN USANDO UN ALGORITMO EVOLUTIVO NSGA-II (MULTIOBJECTIVE DISTRIBUTION SYSTEM PLANNING USING AN NSGA-II EVOLUTIONARY ALGORITHM)


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En este artículo se presenta una metodología para solucionar el problema del planeamiento de sistemas de distribución empleando una técnica de optimización multiobjetivo. En el modelo propuesto se consideran la ubicación y dimensionamiento de nuevos elementos y la repotenciación de elementos existentes. En el planteamiento del problema se incluyen en la función objetivo los costos de inversión y de operación y la confiabilidad de la red. Este tema de investigación es de relevancia para las empresas distribuidoras de energía eléctrica, ya que permite contar con nuevas herramientas que acercan el problema a situaciones reales, tales como considerar varios objetivos, lo cual incide favorablemente en las finanzas y en la operación del sistema. En la solución del modelo se emplea un algoritmo elitista de ordenamiento no dominado (NSGA-II), y para verificar su eficiencia se recurre a un caso de la literatura especializada, que corresponde a una red de distribución de un sistema eléctrico.
Abstract: This paper presents a methodology to solve the problem of distribution system planning, using a multi--objective optimization technique. In the proposed model the location and design of new elements and the upgrading of existing elements are considered. In the problem approach, investment and operation costs and network reliability are included in the objective function. This research topic is relevant to the electricity distribution companies, as it allows for new tools that bring the problem to real situations, such as considering multiple objectives, which has a positive impact on the finances and on operation of the system. In the model solution, an elitist non-dominated sorting algorithm (NSGA-II) is used, and to verify its efficiency a case of specialized literature is used, which corresponds to a distribution network of an electrical system.
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