Risk-based maintenance schedule of transmission line using multi-objective evolutionary algorithm

Author

Li, Gaowang ; Shi, Dongyuan

Author_Institution

Coll. of Electr. Eng. (CEEE), Huazhong Univ. of Sci. & Technol. (HUST), Wuhan, China

Volume

1

fYear

2011

fDate

8-9 Sept. 2011

Firstpage

413

Lastpage

416

Abstract

This paper describes a risk-based approach for multi-objective maintenance schedule of transmission line. A novel risk index is calculated by probabilistic load flow method, which accounts for the fluctuation of generator power, loads and transmission line´s outages. Elitist non-dominated sorting genetic algorithm (NSGA-II) is used to find the optimal solutions in large search space. The test results on the Roy Billinton Test System (RBTS) demonstrate the validity of the proposed approach.

Keywords

genetic algorithms; maintenance engineering; power transmission lines; risk analysis; NSGA-II; RBTS; Roy Billinton Test System; multiobjective evolutionary algorithm; nondominated sorting genetic algorithm; probabilistic load flow method; risk-based maintenance schedule; transmission line; Biological cells; Load modeling; Maintenance engineering; Meteorology; Optimization; Power transmission lines; Schedules; Transmission line maintenance; multi-objective optimization; probabilistic load flow; risk assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering and Automation Conference (PEAM), 2011 IEEE

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9691-4

Type

conf

DOI

10.1109/PEAM.2011.6134883

Filename

6134883