DocumentCode :
938848
Title :
Modeling of icing and ice shedding on overhead power lines based on statistical analysis of meteorological data
Author :
Savadjiev, Konstantin ; Farzaneh, Masoud
Author_Institution :
NSERC/Hydro-Quebec/UQAC Ind. Chair on Atmos. Icing of Power Network Equip., Chicoutimi, Que., Canada
Volume :
19
Issue :
2
fYear :
2004
fDate :
4/1/2004 12:00:00 AM
Firstpage :
715
Lastpage :
721
Abstract :
Statistical analysis of meteorological data for icing and ice shedding on overhead power-line conductors was performed. The data studied were recorded during the 57 icing events (1659 h), which occurred in the period between February 1998 and January 2000 at the Mont Be´lair icing test site in Quebec, Canada. The analysis aims at establishing shape and statistical parameters of the transfer functions representing the correlations between hourly icing rate and the variations of the following meteorological variables: ambient temperature, hourly number of ice-rate meter signals, wind speed and direction, and freezing precipitation rate. Two different regimes of the ice formation process, in-cloud icing, and freezing precipitation icing, are considered for characterizing ice events. The set of fitting regression curves obtained is the statistical base for creating an empirical probabilistic icing, and ice shedding model for studying and forecasting atmospheric-icing loads on overhead power-line conductors.
Keywords :
atmospheric precipitation; ice; meteorology; power overhead lines; statistical analysis; transfer functions; ambient temperature; empirical probabilistic icing; freezing precipitation icing; freezing precipitation rate; ice formation process; ice shedding; ice-rate meter signals; icing; in-cloud icing; meteorological data; meteorological variables; overhead power line conductors; statistical analysis; transfer functions; wind speed; Conductors; Ice; Meteorology; Power overhead lines; Shape; Signal analysis; Statistical analysis; Temperature distribution; Testing; Transfer functions;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2003.822527
Filename :
1278431
Link To Document :
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