• DocumentCode
    3509204
  • Title

    Probabilistic load flow in microgrid assessment and planning studies

  • Author

    Oke, O.A. ; Thomas, David W. P.

  • Author_Institution
    Electr. Syst. & Opt. Res. Div., Univ. of Nottingham, Nottingham, UK
  • fYear
    2012
  • fDate
    10-12 Oct. 2012
  • Firstpage
    151
  • Lastpage
    156
  • Abstract
    In this paper, probabilistic load flow technique is employed as a decision tool for the location of renewable energy generators within a micro-grid. The importance of probabilistic load flow within the micro-grid is first illustrated by comparing results from it with those from deterministic load flow. Probabilistic load flow is then employed as a tool in deciding the in-feed point for a proposed wind farm within a 22-bus simplified university network while considering two scenarios (peak load demand during winter examination and low load demand in summer holiday). The optimal wind farm location was decided based on three criteria; the voltage level on each substation, the line flow compliance and the total system losses.
  • Keywords
    distributed power generation; load flow; power generation planning; substations; wind power plants; 22-bus simplified university network; deterministic load flow; in-feed point; line flow compliance; low-load demand; microgrid assessment study; microgrid planning study; optimal wind farm location; peak load demand; probabilistic load flow technique; renewable energy generator location; substation voltage level; summer holiday; total system losses; winter examination; Educational institutions; Generators; Load flow; Probabilistic logic; Substations; Wind farms; Wind power generation; Distributed Generation (DG); fluctuation; micro-grid; probabilistic load flow; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power and Energy Conference (EPEC), 2012 IEEE
  • Conference_Location
    London, ON
  • Print_ISBN
    978-1-4673-2081-8
  • Electronic_ISBN
    978-1-4673-2079-5
  • Type

    conf

  • DOI
    10.1109/EPEC.2012.6474941
  • Filename
    6474941