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Power Grid Safety Assessment Based on Linguistic Causal Network Under Uncertanties

Authors:
Eugeniy Brezhnev,
Vyacheslav Kharchenko
Artem Boyarchuk

Keywords: power grid; computing with words; safety; influence; Bayesian Belief Network

Abstract:
This paper is devoted to the solution of problems, connected with power grid safety, using proposed approach. The state of power grid is determined by states of its systems, conditioned by their mutual influence of different nature. These influences cause the change of state of each system during grid life cycle. The proposed approach is based on application of Bayesian Belief Network, where nodes represent different grid systems, and links are stipulated by different types of influences (physical, informational, geographic, etc). The grid safety is evaluated by its criticality. The criticality and influence are treated as the linguistic values. It is suggested to evaluate criticality of system, considering the change of criticalities of all connected systems. Conditional probabilities are also represented by linguistic values. To demonstrate the approach to the grid safety analysis, Russian Sayano–Shushenskaya hydro power station accident is reviewed.

Pages: 22 to 27

Copyright: Copyright (c) IARIA, 2013

Publication date: April 21, 2013

Published in: conference

ISSN: 2308-3700

ISBN: 978-1-61208-268-4

Location: Venice, Italy

Dates: from April 21, 2013 to April 26, 2013