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

Jorge Piloto, Raul Ribeiro, R. Sarker, Mohd Tariq, A. Sarwat
{"title":"Reliability Analysis of Power System Employed by High Power Consumption Data Center","authors":"Jorge Piloto, Raul Ribeiro, R. Sarker, Mohd Tariq, A. Sarwat","doi":"10.1109/PIECON56912.2023.10085721","DOIUrl":null,"url":null,"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.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIECON56912.2023.10085721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信