On optimal battery sizing for households participating in demand-side management schemes
- Submitting institution
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Kingston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-01-1335
- Type
- D - Journal article
- DOI
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10.3390/en12183419
- Title of journal
- Energies
- Article number
- -
- First page
- 3419
- Volume
- 12
- Issue
- -
- ISSN
- 1996-1073
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
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-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
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-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper studies optimal battery sizing for households participating in a game-theoretic demand-side management scheme (DSM). The performance of extensive simulations provide an insight on how optimal sizing of batteries in DSM schemes depends, not only on aggregated statistics, but also on the specific temporal patterns that characterise individual households. This work led to a project funded by Iberdrola MiddleEast (part of the Spanish-owned multinational electric utility company) which studies the hosting capacity for distributed energy resources and storage (e.g., solar panels and batteries) in distribution networks using a particle swarm optimisation-based algorithm.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -