• DocumentCode
    2836584
  • Title

    Minimum cost control of real-time congestion management of electricity system

  • Author

    Nan, Jiang ; Xiangyong, Chen ; Yuanwei, Jing ; Tie, Zhang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    1189
  • Lastpage
    1191
  • Abstract
    This paper studies the problem of congestion management model that based on quoted price adjustment in the real-time electricity markets, dealing with two cases : opening the generator side only and opening the generator side and load side simultaneously, introduces the congestion factor and establishes a novel optimal congestion cost model for each case. Furthermore based on the max-mini theory, changes the congestion management into a nonlinear programming problem that while the transmission congestion is maximum the adjustment cost is minimum. Finally the results of the simulation identify the simple feasibility and safe reliability of the proposed method.
  • Keywords
    costing; electric generators; minimax techniques; nonlinear programming; power markets; reliability; transmission networks; congestion factor; electricity system; generator; max-mini theory; minimum cost control; nonlinear programming problem; optimal congestion cost model; quoted price adjustment; real-time congestion management; real-time electricity markets; safe reliability; transmission congestion; Control systems; Cost function; Energy management; Power generation; Power generation economics; Power markets; Power system economics; Power system management; Power system reliability; Real time systems; Congestion Management; Cost Control; Electricity System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498156
  • Filename
    5498156