• DocumentCode
    2895388
  • Title

    The simulation of risk-based adequacy control for the smart grid

  • Author

    Dongliang, Xie ; Yusheng, Xue ; Dong, Zhaoyang ; Feng, Xue

  • Author_Institution
    Electr. Eng. Sch., Southeast Univ., Nanjing, China
  • fYear
    2011
  • fDate
    6-9 July 2011
  • Firstpage
    1086
  • Lastpage
    1093
  • Abstract
    The large-scale integration of Renewable Energy Sources (RES) generation, such as wind and solar power, is very helpful for reducing emissions of green-house gases. However, this is at the cost of demanding more reserve capacity of different response time, especially that of the spinning reserve, due to various kinds of uncertainty introduced by the energy sources. A brief introduction of the essential factors relevant to the adequacy control and the used dynamic simulation models is given firstly. Based on the models, the comparison between the risk-based control method and an existing method is made to show the importance of risk quantification to the adequacy analysis and control.
  • Keywords
    air pollution control; distributed power generation; large scale integration; renewable energy sources; risk analysis; smart power grids; dynamic simulation models; greenhouse gas reduction; large scale integration; renewable energy sources; risk based adequacy control; risk quantification; smart grid; Algorithm design and analysis; Analytical models; Biological system modeling; Optimization; Power system dynamics; Probabilistic logic; Schedules; adequacy control; large-scale RES integration; reserve management; risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on
  • Conference_Location
    Weihai, Shandong
  • Print_ISBN
    978-1-4577-0364-5
  • Type

    conf

  • DOI
    10.1109/DRPT.2011.5994057
  • Filename
    5994057