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Evaluating the effectiveness of storage control in reducing peak demand on low voltage feeders

Abstract:

Uptake of low carbon technologies could likely lead to increased demand in distribution networks and consequently could impose additional stress on the networks. Battery energy storage systems (BESS) are identified as a feasible alternative to traditional network reinforcement. This study analyses two BESS scheduling algorithms (model predictive control (MPC) and fixed schedule) supplied with forecasts from five methods for predicting demand on 100 low-voltage feeders. Results show that forec...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1049/oap-cired.2017.0626

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
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Publisher:
Institution of Engineering and Technology Publisher's website
Journal:
24th International Conference & Exhibition on Electricity Distribution (CIRED). Journal website
Host title:
24th International Conference & Exhibition on Electricity Distribution (CIRED 2017)
Publication date:
2017-10-01
Acceptance date:
2017-06-12
DOI:
ISSN:
2515-0855
Source identifiers:
745092
Pubs id:
pubs:745092
UUID:
uuid:2227c92f-fa0c-4931-a7d8-78370add7e95
Local pid:
pubs:745092
Deposit date:
2017-11-13

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