DocumentCode :
2434852
Title :
Stochastic Petri nets architectural modules for power system availability
Author :
Dumitrescu, Mariana
Author_Institution :
Electr. Eng. Dept., "Dunarea de Jos" Galati Univ., Romania
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
745
Abstract :
The most commonly used dependability models are the state-space models, as generalized stochastic Petri nets (GSPN). Due to their logical subnets, a complex model results even for simple repairable systems. Combining the GSPN properties and high level Petri net facilities, a simplified model, having the same modeling power as GSPN, is built, giving logical explicit stochastic Petri net (LESPN) architectural modules for parallel, series, and series-parallel repairable systems. These modules can be used in repairable power systems dependability modeling (but not only). A computerized tool, SPNE, is created to compute the dependability metrics. The paper presents a comparative analysis of the LESPN architectural modules. We apply the dependability comparative analysis in a ship electric power plant safety study. Three electrical generators-main switchboard (EG-MS) coupling alternatives, for the ship electric power plant, are proposed and analyzed.
Keywords :
Petri nets; maintenance engineering; power system analysis computing; power system faults; power system reliability; safety; state-space methods; stochastic processes; GSPN; LESPN; SPNE software tool; dependability modeling; electrical generator-main switchboard coupling; generalized stochastic Petri nets; high level Petri nets; logical explicit stochastic Petri net architectural modules; logical subnets; parallel/series/series-parallel repairable systems; power system availability modeling; reliability; repairable power systems dependability modeling; ship electric power plant safety study; ship electric power plants; state-space models; Electrical safety; Generators; Marine safety; Marine vehicles; Petri nets; Power system analysis computing; Power system modeling; Power systems; Stochastic processes; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems, 2002. 9th International Conference on
Print_ISBN :
0-7803-7596-3
Type :
conf
DOI :
10.1109/ICECS.2002.1046276
Filename :
1046276
Link To Document :
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