Permutation-based optimization for the load restoration problem with improved time estimation of maneuvers
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 29545125
- Type
- D - Journal article
- DOI
-
10.1016/j.ijepes.2018.03.030
- Title of journal
- International Journal of Electrical Power & Energy Systems
- Article number
- -
- First page
- 339
- Volume
- 101
- Issue
- -
- ISSN
- 0142-0615
- Open access status
- Deposit exception
- Month of publication
- April
- Year of publication
- 2018
- URL
-
-
- 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)
-
C - Energy & Bioproducts Research Institute (EBRI)
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presents the most comprehensive multi-objective optimisation model for real-time network restoration problem under multiple failures. It was developed under an R&D partnership with Brazilian utility Energisa Rondonia (Innovation Analist) - formerly CERON, where it is currently being tested. Once in full operation it will increase power reliability for over 633,000 customers in Rondonia, Brazil. This work contributed to two successful PhD theses, one of which received a Best PhD Thesis in Electrical Engineering Award (https://issuu.com/revistaosetoreletrico/docs/edicao_164_final_simples). The paper led to two Brazilian awards: Best R&D Project / Best Project Overall, in the National Symposium of the Brazilian Electrical Sector 2019 (https://ufmg.br/comunicacao/publicacoes/boletim/edicao/2069/gestao-de-falhas).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
