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https://doi.org/10.1109/sest.2...
Conference object . 2018 . Peer-reviewed
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Sectionalizing Distribution Networks Concept and System Framework

Authors: Roos, M. H.; Nguyen, P. H.; Morren, J.; Slootweg, J. G.;

Sectionalizing Distribution Networks Concept and System Framework

Abstract

The increasing dependency of society on electricity motivates the research for more reliable and resilient distribution networks. Self-healing of networks is one of the key elements of the Smart Grid concept. Conventional self-healing networks (CSHNs) recover part of the network by rerouting power with automated switchgear. By utilizing microgrids (MGs), the sectionalizing distribution networks (SDNs) concept is an extension of CSHNs which utilizes both automated switchgear and distributed energy resources (DERs) to create both grid-connected and islanded microgrids (MGs). The SDN concept provides more resilience against faults than CSHNs and allows local bottom-up blackout restoration. This paper provides a high-level conceptual and operation states description, a system framework and the operational sequence of SDNs in case of faults. Finally, several future research directions are proposed.

Country
Netherlands
Keywords

Control and Optimization, microgrids, Energy Engineering and Power Technology, sectionalizing distribution networks, islanding, Artificial Intelligence, self-healing, SDG 7 - Affordable and Clean Energy, Electrical and Electronic Engineering, SDG 7 – Betaalbare en schone energie

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average