• DocumentCode
    1331432
  • Title

    Short-Term Operation Model and Risk Management for Wind Power Penetrated System in Electricity Market

  • Author

    Li, Xiaohu ; Jiang, Chuanwen

  • Author_Institution
    Electr. Eng. Dept., Shanghai Jiaotong Univ., Shanghai, China
  • Volume
    26
  • Issue
    2
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    932
  • Lastpage
    939
  • Abstract
    In view of the uncertainty and intermittency of wind power, this paper proposes an optimal economical dispatch (ED) model and develops a method to estimate risk and manage hybrid power systems (traditional + wind power systems) for the short-term (24 h) operations. The model and the method have taken into account the large wind power penetration and the wind variability. The particle swarm optimization (PSO) algorithm with constraints is applied to solve the ED problem. Value at risk (VaR) and integrated risk management (IRM) are used separately to assess the risk, so that an optimal tradeoff between the profit and risk is made for the system operations. The model and the method are tested on the standard IEEE 30-bus power system and network in Shanghai. The validity of the model and the method has been approved.
  • Keywords
    hybrid power systems; particle swarm optimisation; power generation dispatch; power generation economics; power markets; risk management; Shanghai; electricity market; hybrid power systems; integrated risk management; optimal economical dispatch model; particle swarm optimization; short-term operation model; standard IEEE 30-bus power system; time 24 h; wind power penetrated system; Biological system modeling; Generators; Mathematical model; Risk management; Wind forecasting; Wind power generation; Wind speed; Particle swarm optimization; risk assessment; short-term operation; wind power;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2070882
  • Filename
    5582176