Abstract
This paper presents a methodology to convert a network section with generation sources, storage, and loads into an electrical microgrid. This conversion will allow greater autonomy and efficiency in its management. Besides, after the analysis of the recorded data, a reduction in the consumption of the distribution network can be achieved, and therefore, a reduction in the costs of the electricity bill. To achieve this transformation it is necessary to provide the network with intelligence, proposing a methodology based on four steps: identification and description of the elements that form it, choice of hardware and software for monitoring and controlling the system, establishment of communication between the different elements and creation of a control network framework for visualization. As a case study, the microgrid of the Renewable Energy Development Centre (CEDER) located in the province of Soria (Spain) is shown, formed by different sources of generation, storage systems, and consumption. All the elements of this microgrid are integrated with single free software, Home Assistant, installed in a Raspberry Pi 4 to provide the network with basic intelligence, control and monitoring in real-time through different communication protocols.
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Izquierdo-Monge, O., Peña-Carro, P., Hernández-Callejo, L., Duque-Perez, O., Zorita-Lamadrid, A., Villafafila-Robles, R. (2021). A Methodology for the Conversion of a Network Section with Generation Sources, Storage and Loads into an Electrical Microgrid Based on Raspberry Pi and Home Assistant. In: Nesmachnow, S., Hernández Callejo, L. (eds) Smart Cities. ICSC-CITIES 2020. Communications in Computer and Information Science, vol 1359. Springer, Cham. https://doi.org/10.1007/978-3-030-69136-3_17
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