Algoritmo para la Localización y Despacho de Bancos de Baterías en Redes de Distribución
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Abstract
The use of energy storage devices in electrical networks is increasing due to the several benefits they bring to the system. In this work, an optimization algorithm oriented to the management of battery banks in radial distribution networks is presented. The main objective is to select the most appropriated combination of storage capacity, location on the network and operation strategy of the battery banks. The goal is to optimize a global cost indicator that includes the acquisition of the energy by the distribution company, losses, operation and maintenance of batteries, and penalties for the energy not supplied in failure scenarios. The resolution is proposed by a two-level procedure: a Particle Swarm Optimization algorithm determines the location and capacity of the battery banks, and other traditional gradient-based methods estimate the network losses and minimize the impact of power outages. In order to evaluate its performance, the procedure is applied to a real distribution network, showing the validity of the implemented method to address a complex problem with a high number of variables, and being effective in optimizing the overall cost.
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