Power System Reliability Modeling with Aging Using Thinning Algorithm Conference Paper

abstract

• Renewal process has been frequently employed as a mathematical model of components in power system reliability analysis. However, some of the components may enter an aging stage and this paper illustrates the effects of aging in reliability modeling. To implement the history of working and failure of system, Stochastic Point Process modeling based on Sequential Monte Carlo simulation is proposed. In the proposed method, the concept of thinning is used for Non-homogeneous Poisson Process characterization of lifetime of aging components. This simulation technique is applied to the Single Area IEEE RTS and the results are compared. 2009 IEEE.

name of conference

• 2009 IEEE Bucharest PowerTech

authors

• Singh, Chanan

published proceedings

• 2009 IEEE BUCHAREST POWERTECH, VOLS 1-5

author list (cited authors)

• Kim, H., & Singh, C.

citation count

• 2

complete list of authors

• Kim, Hagkwen||Singh, Chanan

publication date

• January 2009

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Aging
• Intensity Rate Function
• Loss Of Load Expectation
• Mean Time To Failure/repair
• Monte Carlo Simulation
• Non-homogeneous Poisson Process
• Power Law Process
• Power System Reliability
• Renewal Process
• Stochastic Point Process
• Thinning

Digital Object Identifier (DOI)

• 10.1109/ptc.2009.5281858

International Standard Book Number (ISBN) 13

• 978-1-4244-2234-0

start page

• 453

end page

• 458

URL

• http://dx.doi.org/10.1109/ptc.2009.5281858