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> A renewable energy community of DC nanogrids for providing balancing services
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A renewable energy community of DC nanogrids for providing balancing services
Barone G.
;
Brusco G.
;
Menniti D.
;
Pinnarelli A.
;
Sorrentino N.
;
Vizza P.
;
Burgio A.
;
Bayod-Rújula Á.A.
(Universidad de Zaragoza)
Resumen:
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.
Idioma:
Inglés
DOI:
10.3390/en14217261
Año:
2021
Publicado en:
Energies
14, 21 (2021), 7261 [21 pp]
ISSN:
1996-1073
Factor impacto JCR:
3.252 (2021)
Categ. JCR:
ENERGY & FUELS
rank: 80 / 119 = 0.672
(2021)
- Q3
- T3
Factor impacto CITESCORE:
5.0 -
Engineering
(Q1) -
Mathematics
(Q1) -
Energy
(Q2)
Factor impacto SCIMAGO:
0.653 -
Energy (miscellaneous)
(Q1) -
Energy Engineering and Power Technology
(Q1) -
Fuel Technology
(Q1) -
Control and Optimization
(Q1) -
Engineering (miscellaneous)
(Q1)
Financiación:
info:eu-repo/grantAgreement/EC/H2020/ 864283/EU/Ebalanceplus
Tipo y forma:
Artículo (Versión definitiva)
Área (Departamento):
Área Ingeniería Eléctrica
(
Dpto. Ingeniería Eléctrica
)
Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace.
Exportado de SIDERAL (2023-05-18-15:25:23)
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