• DocumentCode
    2976451
  • Title

    A dispatching operation risk assessment method based on real-time probabilistic model

  • Author

    Liu Jianing ; Hu Shizhao ; Chen Dong ; Li Bo

  • Author_Institution
    Dispatching & Control Center, Guangdong Power Grid, Guangzhou, China
  • fYear
    2013
  • fDate
    22-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The reasonable dispatching is a key part in maintaining security and stability of power system. Due to the uncertainties such as weather and equipment aging, dispatching operation often faces certain risks. It is essential to analyze the real-time risk of dispatching operation to ensure that the risk can be controlled before dispatching orders are carried out. In this paper, risk theory is implied to the process of dispatching operation, evaluating the influence of social period, weather and equipment condition. The framework and method of dispatching operations process are proposed, where the risk index is quantified by the optimal cost control method. Finally, the effectiveness of proposed method is discussed and examples are given. By assessing the operations process risk before dispatching, dispatchers can determine the risk point and its risk degree, so as to pay more attention to the risk point in real dispatching. The comparison of risk between different dispatching schemes can also help dispatcher to choose the best scheme.
  • Keywords
    costing; dispatching; maintenance engineering; power system security; power system stability; probability; risk management; dispatching operation risk assessment method; equipment aging; equipment condition; operations process risk assessment; optimal cost control method; power system security maintenance; power system stability maintenance; real-time probabilistic model; risk control; risk index; risk theory; social period; weather; Dispatching; Indexes; Meteorology; Power system stability; Real-time systems; Risk management; dispatching operation; optimal power flow; real-time probabilistic model; risk assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
  • Conference_Location
    Xi´an
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-2825-5
  • Type

    conf

  • DOI
    10.1109/TENCON.2013.6718497
  • Filename
    6718497