Development and Initial testing of a Virtual Laboratory for the Build-up and Testing of Microgrid Management Algorithms

G. Fernández, A. Menéndez, P. Meneses, A. Zubiria, A. García, F. Díez, J. Jimeno, J.E. Rodríguez-Seco, F. Cortés

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In a bid of facilitating the increasing penetration of intermittent and random renewable energies, microgrids along with their management algorithms are becoming crucial assets. To prove their effectiveness, these algorithms need to be tested in real environments and/or laboratories, which can be very difficult in many cases, especially at the initial development stages. To solve this issue, this article proposes the use of a laboratory digital twin, i.e., a virtual laboratory with a behaviour that is similar to that of real installations, aimed at facilitating the development, testing and debugging of microgrids management algorithms. The proposed solution is demonstrated to be safe and complete when it comes to test these algorithms.
Original languageEnglish
Pages (from-to)644-649
Number of pages6
JournalRenewable Energy and Power Quality Journal
Volume20
DOIs
Publication statusPublished - Sept 2022

Keywords

  • Microgrids
  • Laboratory
  • Digital twin
  • Smart grids
  • Communications

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/893857/EU/New business models for innovative energy service bundles for residential consumers/frESCO
  • Funding Info
  • Acknowledgement This publication is part of the Sistemas energéticos aislados 100% renovables ENERISLA (exp. CER-20191002) Project which has received a grant from the Centre for Industrial Technological Development (CDTI, Centro para el Desarrollo Tecnológico Industrial in Spanish) under the Ministry of Science and Innovation in the call Acreditación y Concesión de Ayudas destinadas a Centros Tecnológicos de Excelencia “Cervera” in 2019. This research has received funding from the European Union’s Horizon 2020 Framework Program for Research and Innovation under grant agreement no. 893857.

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