DocumentCode :
1378389
Title :
Statistically determined static thermal ratings of overhead high voltage transmission lines in the Rocky Mountain region
Author :
McElvain, Frank R. ; Mulnix, Steve S.
Author_Institution :
Tri-State Generation & Transmission Assoc. Inc., Westminster, CO, USA
Volume :
15
Issue :
2
fYear :
2000
fDate :
5/1/2000 12:00:00 AM
Firstpage :
899
Lastpage :
902
Abstract :
Static thermal ratings of overhead high voltage transmission lines are fundamental and indispensable components in assessing the capability of an electrical network to assure its reliable operation. Traditional methods of determining static thermal ratings hinge on the presumption of specific weather combinations. The results are conservative static thermal ratings without a strong correlation to the prevailing weather patterns in a region. This paper delineates an adaptable methodology for establishing overhead static thermal ratings based on a statistical analysis of historical weather observations. Use of the methodology adds practical knowledge and understanding to the development of static thermal ratings, and the resultant static thermal ratings have a realistic relationship to the weather patterns in a region. Use of the methodology also allows the system to be designed and operated to a specific level of risk
Keywords :
meteorology; power overhead lines; statistical analysis; thermal analysis; Rocky Mountain region; historical weather observations; overhead high voltage transmission lines; power system meteorological factors; power system planning; power system reliability; prevailing weather patterns; public safety; risk analysis; specific weather combinations; static thermal ratings; statistical analysis; stochastic approximations; stochastic processes; Availability; Databases; Load flow analysis; Power overhead lines; Power system planning; Power system reliability; Power transmission lines; Statistical analysis; Uncertainty; Voltage;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.867191
Filename :
867191
Link To Document :
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