The target of this study is improving the electrical power systems performance estimation
because of its importance in complex modern networks investment that have a lot of
advanced equipments.
Having a complete representation of the electrical sy
stem makes diagnosis thing much
accurate and reliable which is used in electrical networks operation and maintenance. We
focus in this research on implying different conditions and factors which affect operation
and we use fuzzy petri nets for that purpose because of its characteristics in handling with
incomplete and uncertainty data . we make our simulation on a real diagram of a refinery
to compute its truth degree and discuss the results , we match that adding changing factors
at operation contribute in improving networks estimation accuracy and support decisionmaking
process .
The research is traduces the simulation techniques used for reliability evaluation in electrical networks.
A program called Power Factory (DIgSILENT) has been used for this purpose.
A part of the distribution network 20 kV of Damascus, has been cho
sen in order to perform a reliability
evaluation study.
The input Data needed for electrical elements are quoted from the statistical data which are available at
the public company for distribution of the electrical energy in Damascus.
After performing the study, some of the reliability indices were calculated to give us, for the first time, an
idea about the reliability situation of Syrian electrical distribution network. On the other hand, these
results were compared to similar indices which are calculated at an European distribution network, and
the difference has been shown.
Suggestion of solutions to improve the reliability level is out of scope of this study, however a comparison
between the actual state and SCADA supported state is applied on the studied network.
This research presents software programs that have been designed in order to evaluate the reliability in
electrical distribution networks, by calculating the reliability indices for 20 kV distribution feeders. It is
the first study in this field for the distribution network in Syria.
First of all, the mathematical models of reliability have been presented.
