Deterministic approach for active distribution networks planning with high penetration of wind and solar power
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 10
- Type
- D - Journal article
- DOI
-
10.1016/j.renene.2017.06.074
- Title of journal
- Renewable Energy
- Article number
- -
- First page
- 942
- Volume
- 113
- Issue
- -
- ISSN
- 0960-1481
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
https://www.sciencedirect.com/science/article/abs/pii/S0960148117305785?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
-
4
- Research group(s)
-
-
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A stochastic model for the planning of multi-configuration networks consisting of wind and solar power resources, utilising a deterministic approach and considering multi-period within a distribution marker environment is derived. This paper, published in a Q1 journal, is significant because previous work did not simultaneously consider multi-configuration network, multi-period within a distribution market environment. The model increased the potential of wind and solar power penetration at certain locations and consequently decreases the distribution-locational marginal prices. This paper is a collaboration with UK Power Networks and Shiraz University of Technology (Iran) and funded by the Royal Academy of Engineering.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
