The use of wind resources has always gone hand in hand with high wind speeds in open fields. This paper develops the decisions to be taken for the selection, installation, and connection of small wind turbines in peri-urban environments, where wind speeds are medium or low. The guidelines are detailed throughout the document, starting with the study of the wind resource, the selection of the turbine, installation, and real-time monitoring of production for integration into a micro power grid. The installation of small wind systems in places as close as possible to the point of demand makes it possible to achieve a reduction in the cost of the electricity bill. This is thanks to the instantaneous control of generation and demand at a particular level through the installation of software, in this case, Home Assistant. The novelty of this paper is the use of this software Home Assistant to integrate of a small wind turbine in a microgrid and its control system.
In recent years, there has been an increasing commitment to give batteries a second life, as they are being consumed for different uses and the recycling methods are not defined. This work aims to show how a storage system based on disused Lithium Iron Phosphate (LFP) batteries has been recovered and integrated into the CE.D.E.R- CIEMAT smart microgrid over a period of ten years during which the operation of the system has been affected. During the recovery process, the cells have been classified according to their voltage, and a series of charge-discharge processes have been carried out on them at different voltages to determine their state of health and capacity. Once characterised, the system was assembled and commissioned with the appropriate cells. In addition, for the storage system, a Supervisory Control And Data Acquisition (SCADA) has been developed in Home Assistant for its integration into the CE.D.E.R.'s microgrid management system. This allows the microgrid to be managed more efficiently, storing surplus energy from distributed generation sources and discharging the stored energy during peak consumption periods to reduce peaks, reduce discharges to the distribution grid and reduce the cost of electricity bills.
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