Abstract
Modelling and Reliability Analysis of Multi-source Renewable Energy Systems Using Deterministic and Stochastic Petri Net
Highlights
With the energy challenges of today, the use of Multi-Source Renewable Energy Systems [1] [2] appears as a potential solution for the production of electricity on a large scale
We focus on the study of the dynamic behavior of these systems in order to make a subsequent quantitative analysis to evaluate their reliability in a model based on Petri nets
We present the Deterministic and Stochastic Petri Nets (DSPN) that will be used for modeling of hybrid systems to renewable energy sources with the purpose to analyse the reliability of this systems
Summary
With the energy challenges of today, the use of Multi-Source Renewable Energy Systems [1] [2] appears as a potential solution for the production of electricity on a large scale. We use a category of Petri net which models the stochastic phenomenon, represented by the appearance of failures in the Multi-Source Renewable Energy Systems. We present the Deterministic and Stochastic Petri Nets (DSPN) that will be used for modeling of hybrid systems to renewable energy sources with the purpose to analyse the reliability of this systems. These graphs are defined as 11-tuple (P, T, I, O, MO, H, N, G, W, d, e), where P is a finite set of places. In addition to the symbols presented before, one will add the last symbol G which is a function of activation of the transitions
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