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    Modelling the transition to Distribution System Operator using the Smart Grid Architecture Model

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    CIRED 2019 - 1748.pdf (448.8Kb)
    Paper number
    1748
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
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    Authors
    Castro, Manuel, EA Technology, United Kingdom
    Meskhi, Elaine, EA Technology, United Kingdom
    Burns, Ray, EA Technology, United Kingdom
    Brazier, Randolph, Energy Networks Association, United Kingdom
    Manandhar, Tim, UK Power Networks, United Kingdom
    Abstract
    The extent of change towards a decarbonised, decentralised and digitised energy system dramatically alters assumptions about future roles and business models for network companies. Distribution Network Operators (DNOs) need to revisit their current business models and consider their evolution to Distribution System Operators (DSOs). In the UK, Energy Networks Association’s (ENA) Open Networks Project (ON-PRJ) has defined the key functional capabilities required by the future DSO and developed five market model options capable of supporting the smart decentralised energy industry that the DNO is transitioning towards. This paper presents an innovative methodology for the practical implementation of the Smart Grid Architecture Model (SGAM) to represent alternative holistic model options for the DSO of the future by describing the business and functional specifications associated with them, and by visually representing the architecture of the smart grid system that underpins them. The methodology developed provides a structured and coherent way to describe, visualize and interpret possible model options for the DSO and enables a methodical comparison between holistic models on a like-for-like basis.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/552
    http://dx.doi.org/10.34890/776
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

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