Reliability optimization in generalized stochastic-flow networks

Author

Chen, Hua ; Zhou, Jiaqi

Author_Institution

Electr. Power Syst. Res. Inst., Chongqing Univ., China

Volume

40

Issue

1

fYear

1991

fDate

4/1/1991 12:00:00 AM

Firstpage

92

Lastpage

97

Abstract

A model and an algorithm for reliability optimization in generalized stochastic-flow networks are given. This algorithm uses the relationship of the k-weak-link sets and sets of failure events to the parameters of the generalized stochastic flow networks. This facilitates a fast location of the optimal capacity expansion for a system from the information obtained by the latest iteration and alleviates the dimension calamity on computation. Consequently, this reliability optimization method is powerful for large systems. As an example, the IEEE Reliability Test System with 24 nodes and 70 components was tested, revealing the components and their capacity values which should be enhanced. The computation results show that the algorithm can be applied to practical problems

Keywords

optimisation; reliability theory; stochastic processes; IEEE Reliability Test System; dimension calamity; failure events; generalized stochastic-flow networks; k-weak-link sets; optimal capacity expansion; reliability optimization; Algorithm design and analysis; Computer networks; Graph theory; Heuristic algorithms; Intelligent networks; Optimization methods; Power system reliability; Reliability theory; Stochastic processes; System testing;

fLanguage

English

Journal_Title

Reliability, IEEE Transactions on

Publisher

ieee

ISSN

0018-9529

Type

jour

DOI

10.1109/24.75342

Filename

75342