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Original scientific paper

Reliability assesment of distribution systems with distributed generation based on Bayesian networks

Liai Gao
Yongjie Zhou
Congcong Li
Limin Huo

Full text: english PDF 278 Kb

page 55-62

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Reliability assessment is of primary importance in
designing and planning distribution systems that
operate in an economical manner with minimal
interruption of customer loads. Distributed
generation (DG) units are subject to failures as all
other generation units, the random behavior of
these units must be taken into account in the
analysis. In this paper, a new method based on
Bayesian Networks is introduced for reliability
analysis of distribution systems with distributed
generation. The method permits not only
computing the reliability indices of a distribution
system but also presenting the effect of each
component or some components on the system
reliability. Thus the shortcomings of traditional
reliability assessment methods are overcome. The
impacts of DG units, their location, DG unit
capacity in each location and their availability, on
distribution system reliability are investigated
using a study case of distribution including
distributed generation.


distributed generation, distribution system, reliability assessment, Bayesian networks, artificial intelligence

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