• DocumentCode
    1179025
  • Title

    Incremental Transmission Loss Allocation under Pool Dispatch

  • Author

    Galiana, Francisco D. ; Conejo, Antonio ; Kockar, Ivana

  • Author_Institution
    McGill University, Montreal, Quebec, Canada; University of Castila-La Mancha, Spain
  • Volume
    22
  • Issue
    1
  • fYear
    2002
  • Firstpage
    69
  • Lastpage
    69
  • Abstract
    Incremental transmission loss analysis has been used for decades, but recent interest in its application to loss allocation calls for new in-depth results. This paper demonstrates that, for incremental methods to be applied correctly in loss allocation, it is first necessary to specify the load distribution and loss supply strategies. Incremental loss allocation among bus power injections is shown to be arbitrary and, therefore, open to challenge as discriminatory. Loss allocation is possible among incremental loads and/or generators, but the proportion of the total losses assigned to either one is arbitrary. Unique, nonarbitrary incremental loss allocations are, however, possible among the "equivalent" incremental bilateral exchanges between generators and loads. From these basic components it is possible then to calculate the allocation among generators or loads in any specified proportion. The main results, although developed initially for small increments, are extended to large variations. Finally, a general incremental loss allocation algorithm is developed and tested.
  • Keywords
    Algorithm design and analysis; Clustering algorithms; Cogeneration; Costs; Fuzzy set theory; Genetic algorithms; Power system management; Power system reliability; Propagation losses; Uncertainty; Incremental transmission loss analysis; equivalent bilateral contracts; loss allocation; loss supply; numerical algorithm; pool dispatch;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.2002.4311682
  • Filename
    4311682