A Renewable Energy Community of DC Nanogrids for Providing Balancing Services

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 fo...

Full description

Saved in:
Bibliographic Details
Published in:Energies (Basel) 2021-11, Vol.14 (21), p.7261
Main Authors: Barone, Giuseppe, Brusco, Giovanni, Menniti, Daniele, Pinnarelli, Anna, Sorrentino, Nicola, Vizza, Pasquale, Burgio, Alessandro, A. Bayod-Rújula, Ángel
Format: Article
Language:English
Subjects:
Alternative energy
Balancing
Batteries
Data buses
DC Bus Signaling
DC microgrid
Distributed generation
Electrical transmission
Electricity
Energy resources
Energy sources
Energy storage
Laboratories
Lithium
Lithium-ion batteries
nanogrid
Photovoltaics
Power flow
Power management
renewable energy community
Renewable resources
Storage capacity
Substations
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14217261