• DocumentCode
    647855
  • Title

    TSC-based planning: A new method to exploit asset efficiency of distribution systems

  • Author

    Jun Xiao ; Ting Zhang ; Cheng-shan Wang ; Pan Zhang ; Xv-dong Wang ; Shi-qiang Yuan

  • Author_Institution
    Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposed a new planning method for distribution networks based on total supply capability (TSC). Firstly, 10 planning measures were summarized in 3 types with their priorities. Secondly, an overall planning process was proposed, composed of the following steps: 1) The TSC and maximum supply capability (MSC) were calculated. 2) The TSC and MSC were used to verify whether they could match the need of the total load forecasted. 3) Distribution verification between load and TSC were also performed, i.e. transformer by transformer. 4) N - 1 simulation was finally used to verify the selected planning scheme. Moreover, for the critical problem of load re-allocation in the planning process, an optimization model was set up. Finally, a planning case was discussed to show the difference from traditional approach. The result shows that TSC-based planning could result in full utilization and higher efficiency of existing assets.
  • Keywords
    optimisation; power distribution planning; MSC; N-1 simulation; TSC-based planning; asset efficiency; distribution networks; distribution verification; maximum supply capability; optimization model; total supply capability; Guidelines; Load modeling; Manganese; Optimization; Planning; Switches; distribution system; load re-distribution; planning; total supply capability (TSC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672403
  • Filename
    6672403