DocumentCode
2484117
Title
Temperature prediction on power transformers and the guide on load dispatch
Author
Lihua Chen ; Zhong Zheng ; Shaoyu Liu ; Liang Guo ; Chun Dun
Author_Institution
State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
fYear
2012
fDate
14-17 Oct. 2012
Firstpage
444
Lastpage
447
Abstract
Transformer winding temperature is a function of the load current and ambient temperature. As the maximum winding temperature at steady state operation is limited by IEEE/IEC standards, the higher the ambient temperature, the lower the permitted current. When the high temperature warning forecast from government climatological stations is available, the maximal load can be pre-calculated and, if necessary, the extra load can be pre-shifted to other transformers. This can help the dispatchers of power grid to prearrange the load in the power network from the 3-day to 7-day weather forecast of the climatological stations. This paper used the Finite Element approach to calculate the electrical-thermal-fluid dynamic phenomena in the power transformer. The results gave the relationship between winding temperature, load current, and the ambient temperature. A four dimension interpolation method is employed to give a good prediction of the power station temperature from the data of the climatological stations around. The four dimensions used include the longitude, the latitude, the altitude, and the time of the power stations and the climatological stations, respectively. The final results are discussed and possible applications are presented.
Keywords
IEC standards; IEEE standards; finite element analysis; interpolation; load dispatching; power grids; power transformers; transformer windings; IEC standards; IEEE standards; ambient temperature; climatological stations; electrical-thermal-fluid dynamic phenomena; finite element approach; interpolation method; load current; load dispatch; power grid; power station temperature; power transformers; temperature prediction; transformer winding temperature; winding temperature; Oil insulation; Power generation; Power transformer insulation; Temperature distribution; Temperature measurement; Windings;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulation and Dielectric Phenomena (CEIDP), 2012 Annual Report Conference on
Conference_Location
Montreal, QC
ISSN
0084-9162
Print_ISBN
978-1-4673-1253-0
Electronic_ISBN
0084-9162
Type
conf
DOI
10.1109/CEIDP.2012.6378815
Filename
6378815
Link To Document