• DocumentCode
    3348946
  • Title

    A New Approach to Coherency Identification of Generators Clusters Based on Wide Area Measurement System

  • Author

    Chen, Tao ; Yang, Jingyan ; Zhang, Jianhua ; Wu, Ziping ; Wei, Zhe

  • Author_Institution
    Electr. & Electron. Eng. Sch., North China Electr. Power Univ., Beijing
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Extended equal area criterion method (EEAC) is always applied for transient stability analysis of large scale power system. The coherency identification of generators clusters after accidents is on the basis of EEAC Method, and the coherency identification of generators clusters used to take the complex power angle method as the criterion, which consume a lot of time and possess a relatively inefficient. A new approach to the coherency identification of generators clusters based on wide area measurement system is proposed in this paper, which utilize the ratio of accelerated kinetic energy to distribute the critical machines clusters. The concept of the ratio of accelerated kinetic energy and related algorithm are described in detail in this paper. Take the power grid of He Bei province in China as a calculation example to illustrate the feasibility and advancement of this approach.
  • Keywords
    electric generators; power grids; power system measurement; power system transient stability; China; accelerated kinetic energy; coherency identification; complex power angle method; extended equal area criterion method; generators clusters; power grid; transient stability analysis; wide area measurement system; Acceleration; Kinetic energy; Large-scale systems; Power generation; Power system analysis computing; Power system measurements; Power system transients; Stability analysis; Transient analysis; Wide area measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918064
  • Filename
    4918064