Journal article
A genetic algorithm approach for modelling low voltage network demands
- Abstract:
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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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- Files:
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(Accepted manuscript, pdf, 1.4MB)
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- Publisher copy:
- 10.1016/j.apenergy.2017.06.057
Authors
Funding
+ Scottish and Southern Electricity Networks
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Grant:
New Thames Valley Vision Project (SSET203 New Thames Valley Vision
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Applied Energy Journal website
- Volume:
- 203
- Pages:
- 463-473
- Publication date:
- 2017-06-23
- Acceptance date:
- 2017-06-16
- DOI:
- ISSN:
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0306-2619
Item Description
- Keywords:
- Pubs id:
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pubs:667122
- UUID:
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uuid:6eba1ac0-e65c-4127-9999-ddfaaa863f7f
- Local pid:
- pubs:667122
- Source identifiers:
-
667122
- Deposit date:
- 2017-06-19
Terms of use
- Copyright holder:
- Elsevier Ltd
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 Elsevier Ltd. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.apenergy.2017.06.057
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