Enabling Autonomous Reconfiguration of Low Voltage Networks

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CIRED 2019 - 1510.pdf (502.16 KB)

Paper number

1510

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Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

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.

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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