Open AccessIdentification of the energy system critical elements using the PARMONC library
Author(s) -
Alexei Edelev,
М. А. Марченко,
Olga Basharina
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1715/1/012064
Subject(s) - monte carlo method , supercomputer , computer science , ranking (information retrieval) , identification (biology) , software , vulnerability (computing) , energy (signal processing) , computational science , parallel computing , operating system , artificial intelligence , physics , mathematics , statistics , botany , computer security , biology , quantum mechanics
In this paper, we presented a Monte Carlo-based approach for vulnerability analyse of energy systems. For high-performance Monte Carlo simulation the PARMONC software library was used. The PARMONC is implemented on high-performance clusters of the Siberian Supercomputer Center. The PARMONC effectively launches parallel stochastic simulation on supercomputers with different architectures. The proposed approach was applied was applied for the identification and ranking the most important elements of a real-world natural gas supply system.