• DocumentCode
    1480286
  • Title

    Energy Losses Estimation in Power Distribution Systems

  • Author

    Queiroz, Leonardo M O ; Roselli, Marcio A. ; Cavellucci, Celso ; Lyra, Christiano

  • Author_Institution
    Brazilian Electr. Regul. Agency (ANEEL), Brasilia, Brazil
  • Volume
    27
  • Issue
    4
  • fYear
    2012
  • Firstpage
    1879
  • Lastpage
    1887
  • Abstract
    Estimating technical losses is fundamental to the planning and economics of electric power networks. This paper surveys the evolution of the ideas behind energy loss estimation and focuses on the development of the concepts of the loss factor and equivalent hours. The paper next identifies difficulties in using maximum demands and the loss factor to estimate energy losses. Based on this analysis, this study proposes an alternative loss estimation approach that relies on the “loss coefficient” as the fundamental parameter for describing load variations in loss estimation. A large load-curve data bank from Brazilian utilities is used to characterize load-curve parameters and provide perspective on the old and new concepts. Practical applications put the proposed ideas into perspective, showing how the use of average demands and loss coefficient can help to make better cable choices, increase accuracy in loss estimation for distribution transformers, and enhance the quality of information in loss estimation analysis.
  • Keywords
    power distribution economics; power distribution planning; power transformers; Brazilian utilities; distribution transformers; electric power network economics; electric power network planning; energy losses estimation; equivalent hours; load-curve data bank; loss estimation analysis; loss factor; power distribution systems; Energy loss; Estimation; Load management; Power distribution; Power system planning; Energy losses; equivalent hours; loss estimation; loss factor; technical losses;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2188107
  • Filename
    6175977