• DocumentCode
    41700
  • Title

    Statistical Quantification of Voltage Violations in Distribution Networks Penetrated by Small Wind Turbines and Battery Electric Vehicles

  • Author

    Chao Long ; Farrag, Mohamed E. A. ; Chengke Zhou ; Hepburn, Donald M.

  • Author_Institution
    Sch. of Eng. & Built Environ., Glasgow Caledonian Univ., Glasgow, UK
  • Volume
    28
  • Issue
    3
  • fYear
    2013
  • fDate
    Aug. 2013
  • Firstpage
    2403
  • Lastpage
    2411
  • Abstract
    Voltage violation tends to be one of the dominant constraints or critical factors that limit the penetration of small wind turbines (SWTs) and battery electric vehicles (BEVs) in distribution networks. To quantify the voltage violation, a statistical time series based approach is developed in this paper. The daily time varying characteristics of electric loads, wind speeds and BEV charging loads have been taken into consideration in a statistical manner. The method has been compared with the conventional time series approach. It is proven that the proposed methodology, while providing a global picture on voltage violations, can potentially be used for fast evaluation of the probability of a voltage violation occurring in a network. The methodology has been applied to an example distribution network. Results show that the proposed methodology can reduce the computational requirement by over 98%, while the difference between the results obtained using the proposed method and applying the conventional time series approach is within 12.5%.
  • Keywords
    battery powered vehicles; distribution networks; probability; statistical analysis; time series; wind turbines; BEV charging loads; SWT; battery electric vehicles; distribution networks; electric load daily time varying characteristics; small wind turbines; statistical time series based approach; voltage violation probability; voltage violation statistical quantification; wind speeds; Battery electric vehicles; power distribution system; probability distribution; small wind turbines; time series analysis; voltage violations;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2013.2252472
  • Filename
    6510491