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    Forecast of steady-state voltage problems considering simulation and socio-environmental information

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    CIRED 2019 - 2145.pdf (318.2Kb)
    Paper number
    2145
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
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    Authors
    Machado Sales, Renan, Sinapsis Inovação em Energia, Brazil
    Ordonha Cyrillo, Ivo, Sinapsis Inovação em Energia, Brazil
    Pelegrini, Marcelo, Sinapsis Inovação em Energia, Brazil
    Luz, Hector, Sinapsis Inovação em Energia, Brazil
    Kagan, Nelson, ENERQ - USP, Brazil
    Borges da Silva Filho, Elson, Eletrobras, Brazil
    Perez Duarte, Daniel, Sinapsis Inovação em Energia, Brazil
    Abstract
    This article presents the general panorama of the use of multiple sources of information to identify consumers who could receive voltage quality different from the appropriate. It is observed that only simulations of power flow, and consequently levels of voltage, are not sufficient for a good prediction of regions and consumers out of the appropriate levels of steady-state voltage. To work around this problem, adjustments and reforms are made to the distribution networks databases, improving the assertiveness of the simulations. However, the simulations still distance themselves from the ideal model of prediction. Using spatial statistics and machine learning techniques, together with data on voltage measurements of the ANEEL product quality campaign and socio-environmental information, there is a significantly higher prediction than the one obtained only by power flow simulations. The predictive results from each model is presented and compared.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/749
    http://dx.doi.org/10.34890/973
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

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