A Renewable Energy Community of DC Nanogrids for Providing Balancing Services

Giuseppe Barone, Giovanni Brusco, Daniele Menniti, Anna Pinnarelli, Nicola Sorrentino, Pasquale Vizza, Alessandro Burgio and Ángel A. Bayod-Rújula
Additional contact information
Giuseppe Barone: Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy
Giovanni Brusco: Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy
Daniele Menniti: Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy
Anna Pinnarelli: Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy
Nicola Sorrentino: Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy
Pasquale Vizza: Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy
Alessandro Burgio: Evolvere SpA Società Benefit, 20124 Milano, Italy
Ángel A. Bayod-Rújula: Department of Electrical Engineering, Zaragoza University, 50018 Zaragoza, Spain

Energies, 2021, vol. 14, issue 21, 1-21

Abstract: 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.

Keywords: renewable energy community; DC Bus Signaling; nanogrid; distributed generation; power management; DC microgrid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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