Reliability Analysis of Power System Employed by High Power Consumption Data Center

Jorge Piloto, Raul Ribeiro, R. Sarker, Mohd Tariq, A. Sarwat
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Abstract

In this paper, we analyze the reliability of a power system employed in large data centers with high power demand. As an emergency response system, it is crucial to ensure that the data center retains its functionality in the event of an emergency. This assessment aims to have a seamless transition with high reliability. Continuous Markov process (CMP) and Monte Carlo simulation (MCS) provide an exponential index of reliability based on the number of nines in the result. The model under test uses a four-state matrix/equation based on the availability and failure states for CMP and MCS. Finally, a discussion provide insight in how these two methods achieve similar results with different mathematical approaches.
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高功耗数据中心电力系统可靠性分析
本文对大功率数据中心供电系统的可靠性进行了分析。作为一个应急响应系统,确保数据中心在发生紧急情况时保持其功能至关重要。该评估旨在实现高可靠性的无缝过渡。连续马尔可夫过程(CMP)和蒙特卡罗模拟(MCS)提供了基于结果中9的数量的可靠性指数指标。测试模型使用基于CMP和MCS的可用性和失效状态的四状态矩阵/方程。最后,讨论提供了关于这两种方法如何使用不同的数学方法获得相似结果的见解。
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