|Affiliations:||Mathematical Institute of the Serbian Academy of Sciences and Arts||Title:||Risk analysis based on Bayesian networks and a multi-criteria decision-making method – selection of Circuit-breakers for the 110kv substations||First page:||241||Last page:||249||Conference:||XIII international May conference on strategic management, Bor||Issue Date:||2017||Rank:||M33||ISBN:||978-86-6305-059-4||Abstract:||
Literature that deals with risk analysis in energy sector shows that the use of Bayesian networks, as one of the methods for risk assessment in this context, is well recognized. Therefore, authors of this paper are using Bayesian networks and Analytic Hierarchy Process, which is also considered to be one of the most widely used multi-criteria decision-making methods, to determine the optimal circuit-breaker - oil, vacuum or SF6 – for the 110kV substations with regard to safety, economic and ecological risks. Comparing the alternatives (circuit-breaker) in relation to the criteria (safety, costs, environment), the authors determined which circuit-breaker should be used in order to obtain the lowest possible risk.
|Keywords:||Risk | Bayesian networks | Analytic Hierarchy Process | Circuit-breakers||Publisher:||University of Belgrade Technical Faculty in Bor Management Department||Project:||Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education|
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