Model-Based Quantitative Evaluation of Repair Procedures in Gas Distribution Networks

Decoupling (probability) Stochastic Petri net
DOI: 10.1145/3284037 Publication Date: 2018-12-10T13:09:16Z
ABSTRACT
We propose an approach for assessing the impact of multi-phased repair procedures on gas distribution networks, capturing load profiles that can depend time different classes users, suspension activities during non-working hours, and random execution times depending topological, physical, geographical characteristics network. The problem is characterized through a semi-formal specification based artifacts Systems Modeling Language (SysML), which then translated into formal model stochastic Petri nets. solution method interleaves fluid-dynamic analysis behavior spent in process, decoupling complexities making almost insensitive to network size topology. Hence, our turns out be applicable real scale cases, notably computing optimal day start procedure. Moreover, by encompassing general (non-Markovian) distributions, enables effective fitting durations.
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