DFIG machine design for maximizing power output based on surrogate optimization algorithm
- Submitting institution
-
Aston University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 21495286
- Type
- D - Journal article
- DOI
-
10.1109/TEC.2015.2411153
- Title of journal
- IEEE Transactions on Energy Conversion
- Article number
- -
- First page
- 1154
- Volume
- 30
- Issue
- 3
- ISSN
- 0885-8969
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2015
- 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
-
4
- Research group(s)
-
B - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A new design method for site specific doubly-fed induction generator is proposed. The output has led to follow-on publications (DOI:10.1109/TETCI.2018.2864747; DOI:10.1109/JAS.2019.1911450; DOI:10.1109/CCDC.2019.8832665). China’s largest wind turbine manufacturer Goldwind is developing large MW wind turbines based on this technology (Goldwind Science Technology Co., [details available]). This research has led directly to an EPSRC IDS Grant (No.1511833), an H2020 research grant (value £11 million, Innovation Action RECLAIM, DT-FOF-06-2019), an industrial grant (GoldWind – IGBTWTG, £144k), and a number of keynote addresses (e.g. ISCSIC’18 in Sweden on 21/09/2018 and MEIE in China on 25/05/2019), and an edited book (“Renewable Energy”, INTECH, 978-953-51-4249-2).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
