• DocumentCode
    527156
  • Title

    The utilities´ optimal reserve purchasing strategy under the energy-saving dispatching environment based on fuzzy probability theory

  • Author

    Jianqiang, An

  • Author_Institution
    Sch. of Econ. & Manage., North China Electr. Power Univ., Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    244
  • Lastpage
    247
  • Abstract
    China is going to realize clean power generation in the future, and introducing energy-saving dispatch is one of the important measures taken. Although this new dispatch model can generate great benefit for the society, the utility will bare increasing reserve purchasing costs. This paper dealt with the optimal reserve purchasing strategy for the utilities. The optimal energy purchase model under the energy-saving dispatch environment was constructed, and based on this the optimal reserve purchasing strategy model was constructed, in which the fuzzy probability theory was used to describe the fuzzy information about the power failure of the renewable power units. The final case study shows the energy-saving dispatch will indeed increase the reserve purchase costs for the electric power utilities, and the fuzzy probability theory can effectively deal with the fuzzy environment about the renewable power units.
  • Keywords
    electricity supply industry; energy conservation; environmental factors; fuzzy set theory; load dispatching; probability; purchasing; renewable energy sources; clean power generation; electric power utilities; energy saving dispatching environment; fuzzy probability theory; renewable power units; utilities optimal reserve purchasing strategy; Biological system modeling; Economics; Equations; Generators; Mathematical model; Oceans; Optimization; energy-saving dispatch; fuzzy probability; purchase stategy; reserve; utility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5568382
  • Filename
    5568382