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  • 标题:Aiding Cascading Analysis Modelling with High-performance-computing Technology
  • 本地全文:下载
  • 作者:Yousu Chen ; Kurt Glaesemann
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:28
  • 页码:639-644
  • DOI:10.1016/j.ifacol.2018.11.775
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractCascading outage analysis is important to minimize the risk of power system blackouts. To sustain power system reliability and manage the risk of blackouts requires simulation tools that are able to analyze and assess the consequence of cascading events quickly and efficiently. This paper presents a cascading analysis feature that was recently implemented upon an integrated state estimation and contingency analysis software package to utilize the power of high performance computing (HPC) techniques. The performance of the developed cascading analysis function, including the consequence analysis and scalability, is demonstrated through three test systems that represent small, medium, and large power systems. The package is able to perform cascading analysis with fullN-1 contingency for a European open model within 20 seconds with 2,048 cores. A discussion of HPC implementation is also provided.
  • 关键词:KeywordsEnergy Management Systems (EMS)Situational AwarenessHigh Performance ComputingContingency AnalysisCascading Failure
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