• DocumentCode
    3610417
  • Title

    Research on low carbon electricity under the probabilistic reliability evaluation

  • Author

    Shaoyun Ge ; Teng Li ; Hong Liu

  • Author_Institution
    Key Lab. of Smart Grid, Tianjin Univ., Tianjin, China
  • Volume
    9
  • Issue
    15
  • fYear
    2015
  • Firstpage
    2374
  • Lastpage
    2381
  • Abstract
    The access of distributed energy to traditional distribution grid can enhance the reliability and provide important support for the construction of low-carbon electricity. However, the current reliability evaluation methods do not correlate with the notion of low-carbon power grid. To fully reflect the stochastic fluctuation of the sources and loads, taking the Monte Carlo simulation method as a framework method, the probabilistic reliability evaluation method based on point estimation is proposed to evaluate the probabilistic reliability of isolating part combining with a new shedding strategy. Then analyse the low-carbon benefit on the result of reliability evaluation. Finally, make a simulation based on the case of actual areas in China. From the case, the low-carbon benefit promotes 20%. Therefore, the validity and accuracy of the method can be verified.
  • Keywords
    Monte Carlo methods; load shedding; power distribution reliability; power grids; stochastic processes; Monte Carlo simulation method; distributed energy; distribution grid; low carbon electricity; point estimation; probabilistic reliability evaluation; shedding strategy; stochastic fluctuation;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2014.1205
  • Filename
    7328465