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Abstract
The article aims to analyse existing methods for assessing the reliability and dependability of power supply systems in the event of partial or complete failure of such systems. The basis for the analysis is the resources that must be spent to perform dependability assessments, such as the complexity of calculations, the amount of initial data required to assess the reliability of complex electrical systems and time costs. Resource analysis was performed for the deterministic methods of system modelling, the Markov analysis method, and the Monte Carlo method. Based on the analysis, a conclusion was drawn about the feasibility of using Markov analysis for assessing the dependability of complex power supply systems. A list of possible events from external negative impacts on power supply systems' generating and distribution capacities was developed and substantiated for use in Markov analysis.
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