• DocumentCode
    2981115
  • Title

    Research on an Improved Model and Method of Calculating Total Transfer Capability

  • Author

    Wang, Qian ; Zhang, LI-ZI

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    4073
  • Lastpage
    4076
  • Abstract
    As a market signal concerned by all parties, transmission capacity has an important economic value in the competitive electricity market. Because of the present model and method´s shortage of calculating Total Transfer Capabiliy (TTC) based on Optimal Power Flow (OPF), which may either lead to shed load in some nodes under a feasible base-case power flow state, or could not reasonably deal with an unfeasible base-case power flow state, an improved model and method of calculating TTC based on DCOPF is presented. Aimming at the maximum nodal load increments, and introducing the load loss model, the basic idea of calculating TTC in this paper is adding the non-negative constraint in nodal load increments under a feasible base-case state, or transfering the unfeasible base-case state to feasible base-case state by load loss model. The IEEE-30 bus test system study results show that the proposed model and method are effective and practicable.
  • Keywords
    load flow; power markets; IEEE-30 bus test system; base-case state; electricity market; maximum nodal load increments; nonnegative constraint; optimal power flow; power flow state; total transfer capability; Biological system modeling; Generators; Load flow; Load modeling; Mathematical model; Power generation; Total Transfer Capability; base-case power flow state; electricity market; load loss; optimal power flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.990
  • Filename
    5629945