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

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    CIRED 2018 Ljubljana WS - 0205 - 21242.pdf (1.101Mb)
    Paper number
    0205
    Conference name
    CIRED 2018 Ljubljana Workshop
    Conference date
    7 - 8 June 2018
    Conference location
    Ljubljana, Slovenia
    Peer-reviewed
    Yes
    Metadata
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    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.
    Publisher
    AIM
    Date
    2018-06-07
    Published in
    • CIRED 2018 Ljubljana Workshop on Microgrids and Local Energy Communities
    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

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