• DocumentCode
    157669
  • Title

    Probabilistic available transfer capability evaluation for power systems including high penetration of wind power

  • Author

    Xin Fang ; Fangxing Li ; Ningchao Gao

  • Author_Institution
    Dept. of EECS, Univ. of Tennessee, Knoxville, TN, USA
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Available transfer capability (ATC) is the measure of transfer capacity remaining in the physical transmission network for further reliable power transfer between two areas in power system. With high penetrations of wind power integrated into the power system, the research concerning impacts of wind power´s uncertainty and intermittence on ATC has become increasingly urgent. This paper proposes a probabilistic power flow method with a correlated wind power model to evaluate the impact of high penetrations of wind power on power system ATC. The proposed probabilistic power flow model nullifies the power imbalance using a set of conventional generation through specified sharing factors. Furthermore, a multi-objective optimal power flow (MOPF) model is proposed to consider the ATC requirement in the traditional generation cost minimization optimal power flow (OPF). Finally, the proposed model and algorithm are validated by an analysis of the IEEE 39-bus system.
  • Keywords
    IEEE standards; load flow; probability; transmission networks; wind power plants; ATC; IEEE 39-bus system; MOPF model; available transfer capability evaluation; multiobjective optimal power flow model; power imbalance; power systems; probabilistic power flow method; probabilistic power flow model; transmission network; wind power model; Correlation; Generators; Load flow; Probabilistic logic; Wind farms; Wind power generation; Wind speed; Available Transfer Capability (ATC); Correlation; Multi-objective optimal power flow (MOPF); Probabilistic power flow; Wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
  • Conference_Location
    Durham
  • Type

    conf

  • DOI
    10.1109/PMAPS.2014.6960664
  • Filename
    6960664