• DocumentCode
    1839371
  • Title

    Application of long-run network charging to large-scale systems

  • Author

    Gu, Chenghong ; Li, Furong ; Gu, Lihong

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Bath, Bath, UK
  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Charging methodology is one important scheme in the deregulated environment in the way that it can be utilized to recover the investment cost from network users according to their different impact on the network. The long-run incremental cost (LRIC) pricing methodology developed by University of Bath in conjunction with Western Power Distribution (WPD, UK) and Ofgem (the office of gas and electricity markets, UK) has drawn lots of attention from industry and academic circles and found its application in practice. Compared with the existing long-run cost pricing methodologies, this charging model can produce forward-looking charges that reflect both the extent of the network needed to serve the generation/demand and the degree to which the network is utilized. This paper examines the practical issues concerning implementation of this charging model in order to assist its utilization in the future. Firstly, the calculation and selection of the parameters, load growth rate, contingency factor, asset costs, that would impact charge evaluation are discussed, followed by the focus on some particular issues concerning them. Thereafter, the technical problems which might appear while applying this charging model to large-scale practical systems are dressed and a few feasible solutions are provided. This charging model, at last, is demonstrated on a practical system taken from the U.K. network.
  • Keywords
    costing; investment; power distribution economics; Office of Gas and Electricity Markets; Western Power Distribution; asset costs; charging methodology; contingency factor; deregulated environment; investment cost; large-scale practical systems; load growth rate; long-run incremental cost pricing methodology; long-run network charging; Analytical models; Computational modeling; Investments; Variable speed drives; Long-run network charging; contingency analysis; discount rate; load growth rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Market (EEM), 2010 7th International Conference on the European
  • Conference_Location
    Madrid
  • Print_ISBN
    978-1-4244-6838-6
  • Type

    conf

  • DOI
    10.1109/EEM.2010.5558783
  • Filename
    5558783