Active distribution networks planning with high penetration of wind power
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9
- 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
- 12 - Engineering
- 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)
-
-
- Citation count
- 25
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper resulted from a collaboration with UK Power Networks and Shiraz University of Technology (Iran) funded by the Royal Academy of Engineering Distinguished Visiting Fellowship Grant(DVF1617/6/45). For the first time, a deterministic approach was used for the planning of multi-configuration distribution networks comprising wind and solar power resources. The approach helps decision makers, such as DNOs, make informed choices on the optimum configurations for energy distribution systems based on technical and economic factors, and consumers’ benefits. The methodology led to the Innovate Pi-Crest (41358) and British Academy GCRF networking grant COMPENSE (GCRFNGR3 \1541) projects on mini-/micro-grids control and operation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
