Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach
- Submitting institution
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The University of Bolton
- Unit of assessment
- 12 - Engineering
- Output identifier
- 0049_12_REF2_KA_01
- Type
- D - Journal article
- DOI
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10.1109/TSG.2019.2934830
- Title of journal
- IEEE Transactions on Smart Grid
- Article number
- -
- First page
- 1264
- Volume
- 11
- Issue
- 2
- ISSN
- 1949-3053
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2019
- URL
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https://ieeexplore.ieee.org/document/8796424
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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-
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Designs an underlying algorithm for matching energy producers and consumers within a peer-to-peer energy trading community for mutual gain. It provides opportunity for reducing carbon footprint by enabling local energy trading and sharing. The proposal for use in Smart Grid Communications Network appeared on Energy Weekly News (NewsRx) on 10-April-2020, Pg. 193, in Atlanta, USA. In collaboration with colleagues in University of Oxford, Imperial College and University of Bath, this paper in part delivers the £1.2M EPSRC funded project (EP/N03466X/1) on Peer-to-Peer Energy Trading and Sharing. Well cited
- Author contribution statement
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- Non-English
- No
- English abstract
- -