• DocumentCode
    637884
  • Title

    Transmission cost allocation method based on Least MW-Mike Value

  • Author

    Jin, Z.X. ; Liao, M.Y. ; He, Z.X.

  • Author_Institution
    Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
  • fYear
    2012
  • fDate
    18-21 Nov. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Transmission cost should be fairly allocated to network users so that a safe and economic operation of the network will be effectively stimulated. However, the development of distributed generation and combined cold, heat and power system are putting forward some new challenges on transmission cost allocation problem. One of the most important and difficult problems in transmission cost allocation is source-sink-analysis problem, in other words, network use evaluation, power flow tracing, power flow separation, or electrical dissection. Each of the currently widely used or discussed source-sink analysis method uses a kind of assumption or simplification when deciding the source of loads or the sink of generators, which makes it only suitable for some certain cases. In this paper, a source-sink analysis method based on least cost is developed, which has encompassed both the electrical distances between generator and load pairs and generation cost. Then, the developed method is compared with power flow tracing method and GGDF method by a simple example system. The result shows the rationality of the developed method in transmission cost allocation.
  • Keywords
    cogeneration; distributed power generation; load flow; power transmission economics; GGDF method; combined cold heat and power system; distributed generation; least MW-Mile value; network use evaluation; power flow separation; power flow tracing; source-sink-analysis problem; transmission cost allocation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Power System Control, Operation and Management (APSCOM 2012), 9th IET International Conference on
  • Conference_Location
    Hong Kong
  • Electronic_ISBN
    978-1-84919-743-4
  • Type

    conf

  • DOI
    10.1049/cp.2012.2132
  • Filename
    6615042