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A genetic algorithm approach for modelling low voltage network demands

Abstract:

Distribution network operators (DNOs) are increasingly concerned about the impact of low carbon technologies on the low voltage (LV) networks. More advanced metering infrastructures provide numerous opportunities for more accurate load flow analysis of the LV networks. However, such data may not be readily available for DNOs and in any case is likely to be expensive. Modelling tools are required which can provide realistic, yet accurate, load profiles as input for a network modelling tool, wi...

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Publication status:
Published
Peer review status:
Peer reviewed

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Authors


Giasemidis, G More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Singleton, C More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Scottish and Southern Electricity Networks More from this funder
Publisher:
Elsevier Publisher's website
Journal:
Applied Energy Journal website
Volume:
203
Pages:
463-473
Publication date:
2017-06-05
Acceptance date:
2017-06-16
DOI:
ISSN:
0306-2619
Pubs id:
pubs:702520
URN:
uri:8232f89b-5d24-4d6a-9c5b-6afa525e53b9
UUID:
uuid:8232f89b-5d24-4d6a-9c5b-6afa525e53b9
Local pid:
pubs:702520

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