• DocumentCode
    1423180
  • Title

    Electricity Tracing in Systems With and Without Circulating Flows: Physical Insights and Mathematical Proofs

  • Author

    Achayuthakan, Chira ; Dent, Chris J. ; Bialek, Janusz W. ; Ongsakul, Weerakorn

  • Author_Institution
    Asian Inst. of Technol. (AIT), Pathumthani, Thailand
  • Volume
    25
  • Issue
    2
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    1078
  • Lastpage
    1087
  • Abstract
    This paper provides new insights into the electricity tracing methodology, by representing the inverted tracing upstream and downstream distribution matrices in the form of matrix power series and by applying linear algebra analysis. The n th matrix power represents the contribution of each node to power flows in the other nodes through paths of length exactly n in the digraph of flows. Such a representation proves the link between graph-based and linear equation-based approaches for electricity tracing. It also makes it possible to explain an earlier observation that circulating flows, which result in a cyclic directed graph of flows, can be detected by appearance of elements greater than one on the leading diagonal of the inverted tracing distribution matrices. Most importantly, for the first time a rigorous mathematical proof of the invertibility of the tracing distribution matrices is given, along with a proof of convergence for the matrix power series used in the paper; these proofs also allow an analysis of the conditioning of the tracing distribution matrices. Theoretical results are illustrated throughout using simple network examples.
  • Keywords
    matrix algebra; power distribution economics; statistical distributions; distribution matrices; graph-based approaches; linear algebra analysis; linear equation-based approaches; mathematical proof; matrix power series; systems electricity tracing; Power system economics; power transmission economics;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2009.2037506
  • Filename
    5418852