Multi-objective Optimization of a Local Energy Community with distributed energy storage systems in Italy

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Paper number

0205

Working Group Number

Conference name

CIRED 2018 Ljubljana Workshop

Conference date

7 - 8 June 2018

Conference location

Ljubljana, Slovenia

Peer-reviewed

Yes

Short title

Convener

Authors

Mocci, Susanna, University of Cagliari, Italy
Pilo, Fabrizio, University of Cagliari, Italy
Soma, Gian Giuseppe, University of Cagliari, Italy

Abstract

Energy Storage Systems are becoming necessary for the upcoming Smart Distribution Systems thanks to the flexibility they introduce in the network operation. Since their costs are still high, optimal planning and management of these devices are crucial to identify specific configurations that can support storage installation. This consideration has motivated a strong interest of the researchers in this field that, however, have separately solved the optimal storage systems location and their optimal schedule. In the paper, a novel Multi-Objective approach is presented, based on the Non-dominated Sorted Genetic Algorithm – II integrated with a real codification that allows joining in a single optimization all the main features of an optimal storage implementation project. The paper is focused on the potential of a Local Energy Community of residential prosumers (with photovoltaic and storage systems) that can support the operation of the distribution system. In particular, pilots selected in the EU project StoRES (Promotion of higher penetration of distributed PV through storage for all) constitutes the Local Energy Community. Application examples are presented to illustrate the algorithm effectiveness.

Table of content

Keywords

Publisher

AIM

Date

2018-06-07

Permanent link to this record

https://www.cired-repository.org/handle/20.500.12455/1236
http://dx.doi.org/10.34890/384

ISSN

2032-9628

ISBN

978-2-9602415-1-8