Sökning: onr:"swepub:oai:lup.lub.lu.se:7278db31-6351-41bf-9c03-80aa4667dc2e" >
Grey-box modeling f...
Grey-box modeling for hot-spot temperature prediction of oil-immersed transformers in power distribution networks
-
- Blomgren, E. M.V. (författare)
- Technical University of Denmark
-
- D'Ettorre, F. (författare)
- Technical University of Denmark
-
- Samuelsson, O. (författare)
- Lund University,Lunds universitet,Industriell elektroteknik och automation,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,LTH profilområde: Energiomställningen,LTH profilområden,Industrial Electrical Engineering and Automation,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,LTH Profile Area: The Energy Transition,LTH Profile areas,Faculty of Engineering, LTH
-
visa fler...
-
- Banaei, M. (författare)
- Technical University of Denmark
-
- Ebrahimy, R. (författare)
- Technical University of Denmark
-
- Rasmussen, M. E. (författare)
- Technical University of Denmark
-
- Nielsen, N. H. (författare)
- Technical University of Denmark
-
- Larsen, A. R. (författare)
- Technical University of Denmark
-
- Madsen, H. (författare)
- Technical University of Denmark
-
visa färre...
-
(creator_code:org_t)
- 2023
- 2023
- Engelska.
-
Ingår i: Sustainable Energy, Grids and Networks. - 2352-4677. ; 34
- Relaterad länk:
-
http://dx.doi.org/10... (free)
-
visa fler...
-
https://lup.lub.lu.s...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Power transformers are one of the most costly assets in power grids. Due to increasing electricity demand and levels of distributed generation, they are more and more often loaded above their rated limits. Transformer ratings are traditionally set as static limits, set in a controlled environment with conservative margins. Through dynamic transformer rating, the rating is instead adapted to the actual working conditions of the transformers. This can help distribution system operators (DSOs) to unlock unused capacity and postpone costly grid investments. To this end, real-time information of the transformer operating conditions, and in particular of its hot-spot and oil temperature, is required. This work proposes a grey-box model that can be used for online estimation and forecasting of the transformer temperature. It relies on a limited set of non-intrusive measurements and was developed using experimental data from a DSO in Jutland, Denmark. The thermal model has proven to be able to predict the temperature of the transformers with a high accuracy and low computational time, which is particularly relevant for online applications. With a six-hour prediction horizon the mean average error was 0.4–0.6 °C. By choosing a stochastic data-driven modeling approach we can also provide prediction intervals and account for the uncertainty.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- Data-driven modeling
- Distribution grid flexibility
- Dynamic transformer rating
- Grey-box modeling
- Thermal model
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas