Title :
Power system reliability modeling with aging using thinning algorithm
Author :
Kim, Hagkwen ; Singh, Chanan
Author_Institution :
Dept. of Electr. & Comput., Texas A&M Univ., College Station, TX, USA
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.
Keywords :
Monte Carlo methods; ageing; power system planning; power system reliability; power system simulation; aging stage; intensity rate function; mathematical model; non-homogeneous Poisson process characterization; power law process; power system reliability analysis; power system reliability modeling; renewal process; sequential Monte Carlo simulation; single area IEEE RTS; stochastic point process modeling; thinning algorithm; Aging; Availability; Costs; Mathematical model; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power system simulation; Stochastic systems; 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;
Conference_Titel :
PowerTech, 2009 IEEE Bucharest
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-2234-0
Electronic_ISBN :
978-1-4244-2235-7
DOI :
10.1109/PTC.2009.5281858
