• DocumentCode
    3251315
  • Title

    The role of risk modelling in the Great Britain transmission planning and operational standards

  • Author

    Dent, C.J. ; Bell, K.R.W. ; Richards, A.W. ; Zachary, S. ; Eager, D. ; Harrison, G.P. ; Bialek, J.W.

  • Author_Institution
    Sch. of Eng. & Comput. Sci., Durham Univ., Durham, UK
  • fYear
    2010
  • fDate
    14-17 June 2010
  • Firstpage
    325
  • Lastpage
    330
  • Abstract
    This paper presents three case studies of risk-based standards from Great Britain: the pre-liberalisation generation planning standard, the present method for setting operational reserve requirements, and the transmission network planning standard. These illustrate a number of key issues in developing planning and operational standards for wind, including: the benefits of risk-based standards in adapting to new circumstances; the importance of considering model assumptions carefully when interpreting risk calculations; the difficulty in calculating the cost of risk; and the need to account for uncertainty in system background. The transmission network planning standard is studied in particular detail, especially how the present combination of deterministic and probabilistic sections might evolve for use in a future power system with a very high renewable penetration.
  • Keywords
    power system simulation; power transmission planning; probability; standards; Great Britain transmission planning; deterministic sections; operational reserve requirements; operational standards; power system; pre-liberalisation generation planning standard; probabilistic sections; risk modelling; transmission network planning standard; Computer networks; Nuclear power generation; Power generation; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Risk analysis; Standards development; Uncertainty; Power system operation; Power system planning; Power system reliability; Risk analysis; Wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5720-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2010.5528890
  • Filename
    5528890