• DocumentCode
    653117
  • Title

    Value of sequential-time simulations in distribution planning

  • Author

    Arritt, Robert F. ; Dugan, Roger C.

  • Author_Institution
    Electr. Power Res. Inst., EPRI, Knoxville, TN, USA
  • fYear
    2013
  • fDate
    April 28 2013-May 1 2013
  • Abstract
    Distribution planning has generally been focused on providing sufficient base power delivery capacity to supply the peak load demand. Renewable generation and various Smart Grid technologies add the requirement that the time-varying characteristic of controls and loads be included in the planning problem. A sequential-time power flow solution capability is needed to properly account for the time-dependent impact of these technologies and any other technology that results in significant changes to the daily loadshape. Having the capability to perform chronological simulations allows the distribution planner to properly account for the effects of such things as shunt capacitor switching controls, modifying voltage regulation schemes to provide headroom for DG and to optimize voltage profiles, and modeling advanced inverter controls. This paper will discuss some recent EPRI research in this area. Examples will demonstrate the value of sequential-time simulations.
  • Keywords
    load flow; power distribution planning; power system simulation; smart power grids; time series; EPRI research; advanced inverter controls; base power delivery capacity; daily loadshape; distribution planning; peak load demand; renewable generation; sequential-time power flow solution capability; shunt capacitor switching controls; smart grid technologies; time-varying characteristic; voltage profiles; voltage regulation schemes; Data models; Integrated circuit modeling; Load modeling; Power systems; Regulators; Sequential analysis; Voltage control; Power Distribution System Analysis; Smart grid; Time-Series simulations; Variable Generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rural Electric Power Conference (REPC), 2013 IEEE
  • Conference_Location
    Stone Mountain, GA
  • ISSN
    0734-7464
  • Print_ISBN
    978-1-4673-5173-7
  • Type

    conf

  • DOI
    10.1109/REPCon.2013.6681857
  • Filename
    6681857