A Multiobjective Approach to Multimicrogrid System Design
- Submitting institution
-
University of Durham
- Unit of assessment
- 12 - Engineering
- Output identifier
- 95430
- Type
- D - Journal article
- DOI
-
10.1109/TSG.2015.2399497
- Title of journal
- IEEE Transactions on Smart Grid
- Article number
- -
- First page
- 2263
- Volume
- 6
- Issue
- 5
- ISSN
- 19493053
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
https://doi.org/10.1109/TSG.2015.2399497
- Supplementary information
-
-
- 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
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper underpins an EPSRC award to the paper author Dr H Sun - TOPMOST project (EP/P005950/1) which was ranked 1st of 19 proposals in the panel, working with Intel and Sunamp. This project then led to Innovate UK project "Electrical and thermal storage optimisation in a virtual power plant" (no. 72255-494201) to help industrial partners Sunamp (Dr Maurizio Zaglio, maurizio.zaglio@sunamp.com), Moixa, and UK Power Networks to develop new functions for their products. Internationally, the results were used for establishing a demonstration project which validated its energy and carbon reduction capability in Yuan Ze University, Taiwan (Dr Wei-Yu Chiu, chiuweiyu@gmail.com).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
