• DocumentCode
    2059953
  • Title

    All-scale modelling of wind generation and responsive demand in power system studies

  • Author

    Hayes, B.P. ; Collin, A.J. ; Hernando-Gil, I. ; Acosta, J.L. ; Hawkins, S. ; Harrison, G.P. ; Djokic, S.Z.

  • Author_Institution
    Inst. for Energy Syst., Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a general methodology for a more accurate assessment of performance of networks with a high penetration of wind-based energy generation and fully enabled responsive demand capabilities. The presented methodology allows to include in the analysis wind-based generation at all scales of implementation, starting from highly dispersed micro and small-scale units connected at LV, to medium-size wind parks connected at MV, to large-scale wind farms connected at HV. An advanced model of wind energy resources is applied to generate realistic input wind data at all scales of implementation, while newly developed and improved aggregate models are used for the correct representation of micro/small wind generation connected in parallel with demand-responsive system loads. The proposed methodology is specifically intended for the analysis of planning and operation of transmission systems. The approach is illustrated using a case study of an actual section of transmission network, where available measurements at wind parks and other sites are used for the validation of obtained results.
  • Keywords
    demand side management; power transmission planning; wind power plants; HV; LV; MV; all-scale modelling; demand responsive system load; demand side management; large-scale wind farms; medium-size wind parks; responsive demand; transmission network; transmission systems planning; wind energy resources; wind-based energy generation; Aggregates; Analytical models; Data models; Load modeling; Power measurement; Wind speed; Demand side management; distributed generation; power system simulation; responsive demand; steady state power system analysis and load modelling; wind energy resources; wind farms/parks; wind-based energy generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345350
  • Filename
    6345350