Mathematical Modelling of the Power Supply System of a
Using the Proteus software, a simulation model of an uninterrupted power supply system for mobile communication base stations was developed. Based on this model, experimental tests
Mobile network operators (MNOs) face frequent power supply failures at BTS sites, leading to revenue loss and increased operational expenditure (OPEX). Despite their critical role, BTSs face significant operational challenges due to vulnerabilities in their power supply. These disruptions can arise from various external and internal sources .
To determine the reliability and availability of a UPS system, a method based on Monte Carlo simulation was used in [6, 7]. Furthermore, techniques, such as fault tree analysis and Bayesian networks, have been employed to document a number of system parameters to determine the probability of system failure.
Furthermore, analyzing the impact of power system faults on the overall runtime of a system can also be an area of focus for future research. System faults can result in the failure of critical components, which can lead to unexpected downtime and significant financial losses.
To eliminate these problems, it is important to accurately evaluate the performance of electrical appliances. With this in mind, this paper investigates the power, runtime, and related quantities of Uninterruptible Power Supply (UPS) systems. This information can be used to understand the lifespan, safety, and efficiency of these systems.
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