DocumentCode :
3250159
Title :
Stochastic models and control for electrical power line temperature
Author :
Bienstock, Daniel ; Blanchet, Jose ; Li, Jie
Author_Institution :
Dept. of Ind. Eng. & Oper. Res., Columbia Univ., New York, NY, USA
fYear :
2013
fDate :
2-4 Oct. 2013
Firstpage :
1344
Lastpage :
1348
Abstract :
In this paper we consider the evolution of the temperature of a power line under stochastic exogenous factors such as ambient temperature. We present a solution to the resulting stochastic heat equation and we propose a number of control algorithms designed to maximize delivered power under chance constraints used to limit the probability that a line exceeds its critical temperature.
Keywords :
power cables; probability; stochastic processes; temperature control; ambient temperature; electrical power line temperature control; probability; stochastic exogenous factors; stochastic heat equation; Equations; Heating; Mathematical model; Power systems; Stochastic processes; Temperature distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4799-3409-6
Type :
conf
DOI :
10.1109/Allerton.2013.6736682
Filename :
6736682
Link To Document :
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