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    Enabling Autonomous Reconfiguration of Low Voltage Networks

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    CIRED 2019 - 1510.pdf (502.1Kb)
    Paper number
    1510
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
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    Authors
    Mokhtar, Maizura , Heriot-Watt University, United Kingdom
    Robu, Valentin, Heriot-Watt University, United Kingdom
    Whyte, Jim, NotSoAnalytic Ltd., United Kingdom
    Higgins, Ciaran, Derryherk Ltd., United Kingdom
    Flynn, David, Heriot-Watt University, United Kingdom
    Fulton, Fiona, SP Energy Networks, United Kingdom
    Loughran, Caroline, SP Energy Networks, United Kingdom
    Abstract
    The energy landscape for Low Voltage (LV) networks is changing. Due to embedded renewables, energy flows are increasingly bi-directional and the wider adoption of EVs and electrical heating are predicted to lead to increases in LV network load. These changes increase the burden and risk to LV networks, requiring the need for network reinforcements. Historically, LV networks are reinforced by adding more cables to the network or by manually re-configuring the network when warnings are reported. However, these solutions are likely to be insufficient in the future. A more active approach is required, which includes the ability to autonomously reconfigure the networks according to the local load. This is now feasible for LV networks because of the mass roll out of smart meters and the growing use of Geographical Information Systems (GIS) which collate information about network topology. This paper proposes a framework that enables the autonomous reconfiguration of the LV networks using these two key data sources.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/429
    http://dx.doi.org/10.34890/655
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

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