Analysis of Mathematical Methods of Electrified Area Safety Assessment
Abstract
Introduction: Low-voltage power supply systems can use so many fire safety assessment methods and so many approaches to identifying hazards, that it can be difficult to choose a method and carry out the assessment. Purpose: The goal is to unify the mathematical modeling methods and safe operation assessments for low-voltage power supply systems by classifying and analyzing the existing approaches to their fire safety assessment. Results: The analysis of the existing methodologies revealed that not all mathematical tools available today in this area can be directly used to assess the fire safety of low-voltage power supply systems. Probabilistic methods are very voluminous because of the need to analyze highly detailed emergency processes. Heuristic methods cannot adequately assess the results, as they use a point system whose reliability raises doubts. Logical-and-probabilistic methods do not take into account the regular checks of the protective switching devices during their operation, which leads to evaluation errors of several orders of magnitude. But the methods based on the theory of homogeneous Markov processes gave rise to a mathematical model of assessment which is adequate in terms of reliability and does not require too much engineering resources. Practical relevance: On the base of homogeneous random Markov processes with discrete number of states and continuous time, a mathematical model was obtained for low-voltage power supply system fire safety assessment, which allows you to consider all possible situations when the system elements stay in safe or unsafe states. This model can be used to analyze systems of any configuration and complexity in terms of their fire safety and operation security.Published
2016-02-22
How to Cite
Solyonyj, S., & Solenaya, O. (2016). Analysis of Mathematical Methods of Electrified Area Safety Assessment. Information and Control Systems, (1), 58-64. https://doi.org/10.15217/issn1684-8853.2016.1.58
Issue
Section
System and process modeling