• DocumentCode
    52269
  • Title

    Stochastic Multiperiod OPF Model of Power Systems With HVDC-Connected Intermittent Wind Power Generation

  • Author

    Rabiee, Abdorreza ; Soroudi, Alireza

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Zanjan, Zanjan, Iran
  • Volume
    29
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    336
  • Lastpage
    344
  • Abstract
    This paper presents a new model for a stochastic multiperiod optimal power-flow (SMP-OPF) problem which includes an offshore wind farm connected to the grid by a line-commutated converter high-voltage dc link. The offshore wind farm is composed of doubly fed induction generators (DFIGs), and the DFIG´s capability curve is considered in order to obtain a more realistic dispatch for wind farms. The uncertainties of wind power generation are also taken into account using a scenario-based approach which can be adopted by the system operator to obtain the optimal active and reactive power schedules for thermal and wind power generation units. To illustrate the effectiveness of the proposed approach, it is applied on the IEEE 118-bus test system. The obtained results demonstrate the capability of the proposed SMP-OPF model for the determination of the optimal operation of power systems.
  • Keywords
    HVDC power convertors; asynchronous generators; load flow; power generation dispatch; power generation scheduling; stochastic processes; wind power plants; DFIG; HVDC-connected intermittent wind power generation; IEEE 118-bus test system; SMP-OPF problem; doubly fed induction generators; high-voltage dc link; line-commutated converter; offshore wind farm; power systems; reactive power schedules; stochastic multiperiod OPF model; stochastic multiperiod optimal power-flow problem; HVDC; optimal power flow (OPF); scenario-based modeling; uncertainty; wind power;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2013.2259600
  • Filename
    6514702