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Conversion of a Network Section with Loads, Storage Systems and Renewable Generation Sources into a Smart Microgrid

Authors :
Oscar Izquierdo-Monge
Paula Peña-Carro
Roberto Villafafila-Robles
Oscar Duque-Perez
Angel Zorita-Lamadrid
Luis Hernandez-Callejo
Source :
Applied Sciences, Vol 11, Iss 11, p 5012 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

This paper shows an experimental application case to convert a part of the grid formed by renewable generation sources, storage systems, and loads into a smart microgrid. This transformation will achieve greater efficiency and autonomy in its management. If we add to this the analysis of all the data that has been recorded and the correct management of the energy produced and stored, we can achieve a reduction in the electricity consumption of the distribution grid and, with this, a reduction in the associated bill. To achieve this transformation in the grid, we must provide it with intelligence. To achieve this, a four steps procedure are proposed: identification and description of the elements, integration of the elements in the same data network, establishing communication between the elements and the control system, creating an interface that allows control of the entire network. The microgrid of CEDER-CIEMAT (Renewable Energy Centre in Soria, Spain) is presented as a real case study. This centre is made up of various sources of generation, storage, and consumption. All the elements that make up the microgrid are incorporated into free software, Home Assistant, allowing real-time control and monitoring of all of them thanks to the intelligence that has been provided to the grid. The novelty of this paper is that it describes a procedure that is not reported in the current literature and that, being developed with Home Assistant, is free and allows the control and management of a microgrid from any device (mobile, PC) and from any place, even though not on the same data network as the microgrid.

Details

Language :
English
ISSN :
20763417 and 08405883
Volume :
11
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.5ed11327a5114d839ffb084058836515
Document Type :
article
Full Text :
https://doi.org/10.3390/app11115012