Title :
Composite power system reliability modeling and evaluation considering aging components
Author :
Kim, Hagkwen ; Singh, Chanan
Author_Institution :
Texas A&M Univ., College Station, TX, USA
Abstract :
As the components grow older, most power systems may enter a wear out stage indicating an aging trend. This paper is focused on aging effects in composite power system reliability evaluation. Quantitative reliability indices such as Loss of Load Expectation (LOLE) are calculated. The IEEE Reliability Test Systems is used to illustrate this technique.
Keywords :
IEEE standards; Monte Carlo methods; power system reliability; power system simulation; stochastic processes; IEEE reliability test systems; aging effects; composite power system reliability evaluation; composite power system reliability modeling; load expectation loss; quantitative reliability indices; sequential Monte Carlo method; stochastic process; Aging; Interconnected systems; Load flow; Power generation; Power system modeling; Power system reliability; Power system simulation; Stochastic processes; Transmission line matrix methods; USA Councils;
Conference_Titel :
Electrical and Electronics Engineering, 2009. ELECO 2009. International Conference on
Conference_Location :
Bursa
Print_ISBN :
978-1-4244-5106-7
Electronic_ISBN :
978-9944-89-818-8
