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