Issue |
E3S Web Conf.
Volume 61, 2018
International Conference on Renewable Energy (ICREN 2018)
|
|
---|---|---|
Article Number | 00012 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/e3sconf/20186100012 | |
Published online | 31 October 2018 |
Demonstration of a microgrid manager in a distribution grid with high PV penetration and Storage: La Graciosa case study
1 Catalonia Institute for Energy Research (IREC), 08930 Sant Adrià de Besòs, Spain
2 Endesa Distribución, Spain
* Corresponding authors: gdominguez@irec.cat
pparadell@irec.cat
jldominguez@irec.cat
Future power systems with high penetration of distributed energy resources (DER) and information and communication technology (ICT) will allow increasing the controllability and observability of the grid. However, new challenges for low voltage distribution networks has arisen where the increasing DER is mainly photovoltaic (PV) installed on the roofs of buildings. This type of generation is variable and generates disturbances in the network. Islands are ideal to experience and install new technologies since are weak grids and the penetration of PV will lead to bidirectional power flows at distribution level, thus a smart control will be required. This article aims to present and innovative tool for the distribution system operators (DSOs) to monitor and manage grid operation. In near future, both DER and client’s flexibility will increase. New monitoring and control tools for DSOs are essential. Furthermore, the grid operation optimization is needed to accommodate the expected DER installations and the active participation of consumers’ flexibility services in markets ensuring system efficiency. This tool is tested on “La Graciosa” grid, one of the Canary Islands, to show its benefit. The grid studied includes a hybrid energy storage system (HESS), PV generators, controllable/uncontrollable loads and equipment to monitor power flows.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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