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    EDPD’s experience with data analytics and stochastic simulation methods for risk-controlled network planning

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    CIRED 2018 Ljubljana WS - 0089 - 21025.pdf (1.100Mb)
    Paper number
    0089
    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
    Aguas, Andre, EDP Distribuição, Portugal
    Pereira, Vera, EDP Distribuição, Portugal
    Carvalho, Pedro, AmberTree, Portugal
    Machado, Joao, AmberTree, Portugal
    Jorge, Luisa, EDP Distribuição, Portugal
    Prata, Ricardo, EDP Distribuição, Portugal
    Bento, Rui, EDP Distribuição, Portugal
    Ferreira, Luís, AmberTree, Portugal
    Abstract
    Within the framework of the Move2Future project, EDP Distribuição (EDPD) is adapting to new realities and technologies, taking advantage of the investments in AMI. In that effort, EDPD embraced the development of a comprehensive methodology to enhance the support to investment decisions, increasing responsiveness and quality of service, while controlling the associated risks. This involved developing specific data analytics approaches for synthetic load modelling based on real data and adapting planning tools to synthetize grid outcomes of such modelling as risk indices. This paper presents the main challenges related to modelling and simulation, pinpointing key issues in computing resources, algorithm design and results presentation.
    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/20.500.12455/1154
    http://dx.doi.org/10.34890/218
    ISSN
    2032-9628
    ISBN
    978-2-9602415-1-8

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