• DocumentCode
    2377614
  • Title

    Network Reduction With Unknown Transmission Line Status

  • Author

    Guo, Jiachun ; Li, Zuyi

  • Author_Institution
    Shandong Univ. of Technol., Jinan
  • fYear
    2007
  • fDate
    Sept. 30 2007-Oct. 2 2007
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    A network reduction method for a network with unknown transmission line statuses is presented. This method could have wide applications in optimal transmission maintenance scheduling and transmission network planning. These problems are complicated and difficult to solve since transmission line´s status will change the system´s topology and consequently shifting factors. In general, voltage angle variables at all buses, and corresponding constraints, need to be introduced to solve these problems. However, this will make the problem practically insolvable due to the huge number of variables and constraints. The proposed method will dramatically decrease the number of variables and constraints needed in transmission line maintenance problem. The most important and inspiring point is that the number of necessary variables and constraints is proportional to the number of transmission lines with unknown status and the number of lines being monitored, and is independent of the size of the system. A six-bus system is used to illustrate the proposed methods.
  • Keywords
    power transmission lines; power transmission planning; scheduling; network reduction; optimal transmission maintenance scheduling; six-bus system; transmission network planning; unknown transmission line status; voltage angle variables; Admittance; Equations; Impedance; Monitoring; Network topology; Power generation; Power markets; Power transmission lines; Transmission lines; Voltage; Network reduction; unknown transmission line status;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Symposium, 2007. NAPS '07. 39th North American
  • Conference_Location
    Las Cruces, NM
  • Print_ISBN
    978-1-4244-1726-1
  • Electronic_ISBN
    978-1-4244-1726-1
  • Type

    conf

  • DOI
    10.1109/NAPS.2007.4402296
  • Filename
    4402296