• DocumentCode
    3561012
  • Title

    Multi-State Load Models for Distribution System Analysis

  • Author

    Schneider, Kevin P. ; Fuller, Jason C. ; Chassin, David P.

  • Author_Institution
    Battelle Seattle Res. Center, Pacific Northwest Nat. Lab., Seattle, WA, USA
  • Volume
    26
  • Issue
    4
  • fYear
    2011
  • Firstpage
    2425
  • Lastpage
    2433
  • Abstract
    Recent work in the field of distribution system analysis has shown that the traditional method of peak load analysis is not adequate for the evaluation of emerging distribution system technologies. Voltage optimization, demand response, electric vehicle charging, and energy storage are examples of technologies with characteristics having daily, seasonal, and/or annual variations. In addition to the seasonal variations, emerging technologies such as demand response and plug-in electric vehicle charging have the potential to receive control signals that affects their energy consumption. To support time-series analysis over different time frames and to incorporate potential control signal inputs, detailed end-use load models that accurately represent loads under various conditions, and not just during the peak load period, are necessary. This paper will build on previous end-use load modeling work and outline the methods of general multi-state load models for distribution system analysis.
  • Keywords
    battery powered vehicles; energy consumption; energy storage; optimisation; power distribution; time series; demand response; distribution system analysis; electric vehicle charging; end-use load modeling; energy consumption; energy storage; multistate load model; plug-in electric vehicle charging; receive control signals; time-series analysis; voltage optimization; Load modeling; Newton method; Power system simulation; Smart grids; Distribution system analysis; Newton-Raphson method; forward-backward sweep method; load modeling; power modeling; power simulation; smart grid;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • Conference_Location
    5/5/2011 12:00:00 AM
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2011.2132154
  • Filename
    5762648