Conference item
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 forecasting feeders with higher mean daily demand produce lower mean absolute errors and better peak demand reduction. MPC with simple error improves peak reduction over fixed schedule for feeders with lower mean daily demand.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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(Preview, Version of record, pdf, 449.5KB, Terms of use)
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- Publisher copy:
- 10.1049/oap-cired.2017.0626
Authors
- Publisher:
- Institution of Engineering and Technology
- Host title:
- 24th International Conference & Exhibition on Electricity Distribution (CIRED 2017)
- Journal:
- 24th International Conference & Exhibition on Electricity Distribution (CIRED). More from this journal
- Publication date:
- 2017-10-01
- Acceptance date:
- 2017-06-12
- DOI:
- ISSN:
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2515-0855
- Pubs id:
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pubs:745092
- UUID:
-
uuid:2227c92f-fa0c-4931-a7d8-78370add7e95
- Local pid:
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pubs:745092
- Source identifiers:
-
745092
- Deposit date:
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2017-11-13
Terms of use
- Copyright holder:
- Haben et al
- Copyright date:
- 2017
- Notes:
- This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
- Licence:
- CC Attribution (CC BY)
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