2008•Unpublished venueRequires access
Power Distribution Network Reliability Modeling Based on theStatistical Data and Multi-agent Simulation
Miroslav Prýmek, Aleš Horák, Radomír Goňo, Stanislav Rusek
Open publisher page 1 citations
Abstract
The paper describes an innovative approach to the exploration
of the power distribution network reliability problem. The
approach is based on dynamic modeling of the power distribution
network features, its failures and their consequences. The
actual modeling processes are conducted by a network of
independent and autonomous software agents whose behavior is
defined by a declarative language. A particular network model
can be machine-generated on the basis of a real-life failure
database data. The hypothesis is that we can bring new findings
to the research field by joining the real-life statistical data
with the highly flexible multi-agent simulation.