Multi-objective short-term scheduling of a renewable-based microgrid in the presence of tidal resources and storage devices
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 12 - Engineering
- Output identifier
- 70
- Type
- D - Journal article
- DOI
-
10.1016/j.apenergy.2017.12.119
- Title of journal
- Applied Energy
- Article number
- -
- First page
- 367
- Volume
- 216
- Issue
- -
- ISSN
- 0306-2619
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- URL
-
https://www.sciencedirect.com/science/article/abs/pii/S0306261917318433?via%3Dihub
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research proposes a modified novel heuristic bird mating optimizer algorithm for scheduling of microgrids with integration of renewable energy sources and energy storage systems. This work was supported in-part by Iran National Science Foundation and in-part by Royal Academy of Engineering Distinguished Visiting Fellowship under Grant DVF1617\6\45. The extension of the proposed concept in this research has been used for the submission of a British Academy Networking Grant GCRFNGR3\1541 which has been awarded in January 2019.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
