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 .
This paper presents the proposed Method for designing fuzzy
supervisory controller model for Proportional Integral Differential
controller (PID) by Fuzzy Reasoning Petri Net (FRPN),the Features
of Method shows the fuzzification value for each prop
erty of
membership function for each input of fuzzy supervisory controller,
and determine the total number of rules required in designing the
controller before enter the appropriate rules in the design phase of
the rules, and determine the value of the inputs of the rule that has
been activated, and assembly variables that have the same property
and show the value for each of them programmatically, and
determine the deffuzification value using deffuzification methods.
