• DocumentCode
    1777948
  • Title

    Research on power system self-adaptive islanding based on real-time measured data

  • Author

    Wang Cheng-gen ; Zhou Qian ; Niu Li-tao ; An Hai-yun ; Chen Jing

  • Author_Institution
    Jiangsu Electr. Power Co. Res. Inst., Nanjing, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    938
  • Lastpage
    942
  • Abstract
    It is possible to prevent collapse of the whole post-fault power system, which is in unstable condition, by islanding control method to calm down system oscillation. Finding out the out-of-step modes is the key step of islanding control. A fast out-of-step detection method based on real-time measured data is presented in this paper. In this paper, the voltage phase angle of each branch and the active power through each branch is measured. Then, the out-of-step mode is determined when the out-of-step branch forms a cut-set. Finally, the islanding boundary is found based on the out-of-step mode and proper islanding boundary searching method. The method presented can be easily carried out and the result is found real-time. Simulation on IEEE 118-bus power system shows that the proposed method is effective.
  • Keywords
    distributed power generation; power distribution faults; search problems; IEEE 118-bus power system; active power; islanding boundary searching method; islanding control method; out-of-step detection method; post-fault power system; real-time measured data; self-adaptive islanding; voltage phase angle; Generators; Islanding; Potential energy; Power system stability; Transient analysis; Cut-set; islanding boundary; out-of-step modes; self-adaptive islanding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2014 International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/POWERCON.2014.6993917
  • Filename
    6993917