• DocumentCode
    2600983
  • Title

    Adaptive optimal reclosure based on analysis of fault current transients

  • Author

    Chen, Z. ; Zhang, B.H. ; Bo, Z.Q. ; Redfern, Miles A.

  • Author_Institution
    Dept. of Eng. & Technol., De Montfort Univ., Leicester, UK
  • Volume
    4
  • fYear
    2003
  • fDate
    13-17 July 2003
  • Abstract
    This paper presents a new adaptive optimal reclosure technique on the basis of a fault transient identification technique and an optimal reclosure timing technique. The fault identification technique distinguishes the nature of the fault, namely, a transient or a permanent fault, and determine the fault persistence time of a transient fault by analyzing high frequency components in the fault transient current. The optimal reclosing time is derived from the transient energy function of the power system to minimize the oscillation. The system consists of two units, the fault identification unit and the optimal reclosure timing unit. The information from the fault identification unit and the optimal reclosure timing unit cab be effectively used to determine on the reclosing strategy to enhance power system stability.
  • Keywords
    fault currents; oscillations; power system identification; power system transient stability; signal processing; adaptive optimal reclosure; digital signal processing; fault current transients; fault persistence time; fault transient identification technique; high frequency components; optimal reclosure timing technique; permanent fault; power system oscillation; power system stability; reclosing strategy; transient energy function; Electric shock; Fault currents; Fault diagnosis; Frequency; Power system faults; Power system modeling; Power system stability; Power system transients; Timing; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2003, IEEE
  • Print_ISBN
    0-7803-7989-6
  • Type

    conf

  • DOI
    10.1109/PES.2003.1270941
  • Filename
    1270941