Active distribution networks planning with high penetration of wind power
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 12 - Engineering
- Output identifier
- 14
- Type
- D - Journal article
- DOI
-
10.1016/j.renene.2016.12.007
- Title of journal
- Renewable Energy
- Article number
- -
- First page
- 40
- Volume
- 104
- Issue
- -
- ISSN
- 0960-1481
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2016
- URL
-
https://www.sciencedirect.com/science/article/abs/pii/S0960148116310576?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 novel stochastic approach for planning and design of active distribution networks considering multi-configuration of renewable distributed generators. This work was supported in-part by the SITARA project funded by the British Council and the Department for Business, Innovation and Skills, UK, and in-part by the University of Bradford under CCIP grant 66052/000000. The extension of the proposed concepts explored in this research has been used for the submission of Innovate UK Pi-CREST grant proposal which has been awarded in December 2019.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
