• DocumentCode
    135834
  • Title

    An LFB-based algorithm for fast recovery of a power system from contingencies

  • Author

    Tohidi, Y. ; Safdarian, Amir ; Hesamzadeh, Mohammad

  • Author_Institution
    Electr. Market Res. Group, KTH R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Power systems are becoming older and more intense. Thus, disturbances are inevitable and it is important to develop a powerful methodology to lessen the damages afterward. This paper proposes a new linear formulation based on an approximated version of AC power flow model to compromise between speed and accuracy of decision making process. In the proposed method, voltage and reactive power violations as well as transmission system overloads are alleviated by either or both of generation rescheduling and load shedding. The developed method adopts the line flows and square of voltage magnitudes as the problem state variables. Simulation results on the IEEE-RTS96 system reveal that the proposed method outperforms both the conventional and heuristic approaches from the execution time and the computational effort viewpoints while keeping the accuracy of the results.
  • Keywords
    decision making; graph theory; load flow; load shedding; power generation scheduling; power system planning; power system reliability; power system simulation; AC power flow model; IEEE-RTS96 system; LFB based algorithm; decision making; generation rescheduling; linear formulation; load shedding; power flow model; power system fast recovery; reactive power violations; transmission system overloads; voltage power violations; Accuracy; Computational modeling; Equations; Load modeling; Mathematical model; Reactive power; Linear Model; Power Flow Model; Steady State Power System Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939788
  • Filename
    6939788