Abstract
This paper presents a new power generating system reliability evaluation model which performs like a Monte Carlo based reliability model but without using random number generators or probability distribution of system components. The proposed method is based on a class of Petri Nets known as timed state machine Petri Nets (TSMPNs). The method is simple, flexible, accurate, and extremely fast. A comparison of results from the new model with those from conventional Monte Carlo based reliability techniques shows the fidelity of the model and its potential usefulness in power system reliability studies. The method can also be extended and utilized for other system reliability studies in a more general sense.
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