DocumentCode :
4648
Title :
Reliability Modeling of Dynamic Thermal Rating
Author :
Shaker, Hamid ; Zareipour, Hamidreza ; Fotuhi-Firuzabad, Mahmud
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
Volume :
28
Issue :
3
fYear :
2013
fDate :
Jul-13
Firstpage :
1600
Lastpage :
1609
Abstract :
In this paper, a Markov model for reliability analysis of transmission lines equipped with a dynamic thermal rating (DTR) system is proposed. Moreover, a fuzzy procedure is proposed to determine an annual equivalent fuzzy DTR number to represent hourly variations of the line DTR. To implement the fuzzy annual DTR in composite system reliability analysis, an interactive method resolution technique for solving fuzzy optimization problems is developed. This method is chosen to address the fuzzy constraints associated with the lines equipped with the DTR system. Numerical results are presented using the 24-bus IEEE RTS, and demonstrate the validity of the proposed approaches.
Keywords :
Markov processes; fuzzy set theory; optimisation; power transmission lines; power transmission reliability; 24-bus IEEE RTS; Markov model; annual equivalent fuzzy DTR number; composite system reliability analysis; dynamic thermal rating system; fuzzy constraints; fuzzy optimization problems; interactive method resolution technique; transmission lines; Load modeling; Maintenance engineering; Markov processes; Power system reliability; Power transmission lines; Reliability; Transmission line measurements; Composite system reliability; dynamic thermal rating (DTR); fuzzy optimal load curtailment; interactive method resolution (IMR) technique; reliability modeling;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2013.2252204
Filename :
6492157
Link To Document :
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