• DocumentCode
    668742
  • Title

    Assessment of interconnected power grid operation security based on grey correlation analysis

  • Author

    Xiaofei Liu ; Qi Wang ; Tianzheng Wang ; Laifu Zhang

  • Author_Institution
    Shanxi Electr. Power Res. Inst., Taiyuan, China
  • fYear
    2013
  • fDate
    20-22 Nov. 2013
  • Firstpage
    174
  • Lastpage
    177
  • Abstract
    Grey correlation analysis enables us to understand the internal changing tendency, mutual relationship and other mechanisms of the system at a higher level through mathematical treatment of the observational data at one level of the system. An easy and simple assessment system for power grid operation security is provided with a calculation method based on grey correlation analysis algorithm. First, assess the quality and rank the power grids and newly-established projects, then analyze the sensitivity relationship of relevant factors influencing the security of power grid operation, based on which the objective weights of indexes are determined. Next, calculate the security index of each section of power grid and their relevance, then calculate the influence of each influencing factor to the security index of each section of power grid, and finally complete the security assessment of interconnected power grid operation.
  • Keywords
    grey systems; mathematical analysis; power grids; power system interconnection; power system security; grey correlation analysis algorithm; interconnected power grid operation; interconnected power grid operation security assessment; mathematical treatment; observational data; security index; sensitivity relationship; Correlation; Correlation coefficient; Indexes; Power grids; Power system stability; Security; Sensitivity; all-round assessment; grey correlation analysis; interconnected power grid; security of power grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
  • Conference_Location
    Xianning
  • Print_ISBN
    978-1-4799-2859-0
  • Type

    conf

  • DOI
    10.1109/CECNet.2013.6703300
  • Filename
    6703300