Title :
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
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;
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
DOI :
10.1109/PEAM.2011.6134883
