DocumentCode :
1899317
Title :
Transmission line analysis using interval mathematics
Author :
Shaalan, Hesham
Author_Institution :
US Merchant Marine Acad., Kings Point, NY, USA
fYear :
2012
fDate :
9-11 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Uncertainty is a major issue facing electric utilities in planning and decision making. Modeling uncertainty can be based on the approach called “Unknown but Bounded” in which upper and lower limits on the uncertainties are assumed without probability distributions. Interval mathematics provides a tool for the practical implementation and extension of the unknown but bounded concept. The calculation of transmission line sag and inductance are used as examples to illustrate the use of interval mathematics. The purpose of sag calculations is to determine the change in cable length, given a fixed span and an interval of cable sag values, for numerous variations in temperature. The resulting change in cable length will therefore be an interval corresponding to the interval of cable sag values. Inductance values are also calculated using the traditional single point numbers as well as interval numbers. The values from these two methods are compared to prove the validity of interval analysis.
Keywords :
decision making; electricity supply industry; inductance; mathematical analysis; power cables; power transmission lines; statistical distributions; cable length; cable sag values; decision making; electric utilities; interval mathematics; modeling uncertainty; power transmission line analysis; probability distributions; single point numbers; transmission line inductance; transmission line sag calculations; unknown but bounded approach; Conductors; Equations; Inductance; Mathematical model; Power transmission lines; Uncertainty; Interval Mathematics; Line Sag and Inductance; Power Transmission; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
North American Power Symposium (NAPS), 2012
Conference_Location :
Champaign, IL
Print_ISBN :
978-1-4673-2306-2
Electronic_ISBN :
978-1-4673-2307-9
Type :
conf
DOI :
10.1109/NAPS.2012.6336307
Filename :
6336307
Link To Document :
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