120003 20230519145524.0 doi 10.3390/en14217261 sideral 126821 ART-2021-126821 eng Barone G. A renewable energy community of DC nanogrids for providing balancing services 2021 Access copy available to the general public Unrestricted The massive expansion of Distributed Energy Resources and schedulable loads have forced a variation of generation, transmission, and final usage of electricity towards the paradigm of Smart Communities microgrids and of Renewable Energy Communities. In the paper, the use of multiple DC microgrids for residential applications, i.e., the nanogrids, in order to compose and create a renewable energy community, is hypothesized. The DC Bus Signaling distributed control strategy for the power management of each individual nanogrid is applied to satisfy the power flow requests sent from an aggregator. It is important to underline that this is an adaptive control strategy, i.e., it is used when the nanogrid provides a service to the aggregator and when not. In addition, the value of the DC bus voltage of each nanogrid is communicated to the aggregator. In this way, the aggregator is aware of the regulation capacity that each nanogrid can provide and which flexible resources are used to provide this capacity. The effectiveness of the proposed control strategy is demonstrated via numerical experiments. The energy community considered in the paper consists of five nanogrids, interfaced to a common ML-LV substation. The nanogrids, equipped with a photovoltaic plant and a set of lithium-ion batteries, participate in the balancing service depending on its local generation and storage capacity. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. info:eu-repo/grantAgreement/EC/H2020/ 864283/EU/Ebalanceplus This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 864283-Ebalanceplus info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.252 2021 ENERGY & FUELS 80 / 119 = 0.672 2021 Q3 T3 0.653 2021 Energy (miscellaneous) 2021 Q1 Energy Engineering and Power Technology 2021 Q1 Fuel Technology 2021 Q1 Control and Optimization 2021 Q1 Engineering (miscellaneous) 2021 Q1 5.0 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Brusco G. Menniti D. Pinnarelli A. Sorrentino N. Vizza P. Burgio A. Bayod-Rújula Á.A. Universidad de Zaragoza (orcid)0000-0002-1704-1584 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 14, 21 (2021), 7261 [21 pp] ENERGIES Energies 1996-1073 3656930 http://zaguan.unizar.es/record/120003/files/texto_completo.pdf Versión publicada 2722444 http://zaguan.unizar.es/record/120003/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:120003 articulos driver 2023-05-18-15:25:23 ARTICLE