• DocumentCode
    2604258
  • Title

    Analyzing security assessment schemes in traditional networks

  • Author

    Brooks, James ; Dunn, Rod

  • Author_Institution
    Electr. & Electron. Eng., Univ. of Bath, Bath, UK
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The introduction of sustainable and renewable energy sources into traditional networks will be limited if we continue to use inappropriate methods for security analysis. The probabilistic nature of variable and non-schedulable renewable generation is not well represented in current on-line security assessment schemes. This paper presents a novel method of analyzing and comparing system security schemes and provides initial results of one such scheme. It does so by dynamic simulation of Monte Carlo samples on the IEEE Reliability Test System (IEEE-RTS). It aims to provide information on both how often and how badly the system security scheme fails. After testing on the IEEE-RTS it can be shown that there are credible failures that N-1 does not consider. It highlights the need for a new security assessment scheme that goes beyond a small deterministic set of test cases.
  • Keywords
    Monte Carlo methods; power system security; renewable energy sources; IEEE Reliability Test System; Monte Carlo samples; nonschedulable renewable generation; online security assessment schemes; renewable energy sources; traditional networks; Data security; Information security; National security; Power engineering and energy; Power generation; Power system reliability; Power system security; Renewable energy resources; System testing; Wind energy generation; IEEE Reliability Test System; Power system dynamic stability; Power system reliability; Power system security; Power system simulation; Sustainable Power Generation; onte Carlo methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348262
  • Filename
    5348262