• DocumentCode
    155876
  • Title

    Congestion management of a multi-bus transmission system using distributed smart wires

  • Author

    Pal, Shovon ; Sengupta, Sabyasachi

  • Author_Institution
    Dept. of Appl. Phys., Univ. of Calcutta, Kolkata, India
  • fYear
    2014
  • fDate
    Jan. 31 2014-Feb. 2 2014
  • Firstpage
    417
  • Lastpage
    420
  • Abstract
    Congestion management, demand for increase of reliability, upcoming renewable generation causing distributed generation and increase of load demand have led to the development of new technologies capable of improving network operation without new line construction. An attempt for reconfiguration of an existing network with the help of sectionalizing switches to find out the least loss configuration sometimes causes overloading of certain lines. Among many developed technologies, Smart Wire is a new concept for a low-cost, high reliability method to control the power flow in a transmission line. This paper presents a technique by which, if congestion is detected, it can be managed by a Smart Wire. It improves a passive grid asset, like a power line; with improved reliability relative to traditional FACTS because it can be bypassed if it fails, leaving the passive asset in service. This is called fail-normal operation.
  • Keywords
    load flow control; power system management; power transmission reliability; FACTS; congestion management; distributed generation; distributed smart wires; fail-normal operation; least loss configuration; load demand; multibus transmission system; passive grid asset; power flow control; renewable generation; transmission line; Conductors; Control systems; Impedance; Load flow; Power transmission lines; Reliability; Wires; Congestion; Distributed Reactance; Magnetizing Reactance; Smart Wire (SW);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on
  • Conference_Location
    Calcutta
  • Type

    conf

  • DOI
    10.1109/CIEC.2014.6959122
  • Filename
    6959122