• DocumentCode
    1724631
  • Title

    Risk-based TTC calculation of a power system with renewable energy resources

  • Author

    Paensuwan, Nattawut ; Yokoyama, Akihiko

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Recently, the electric power utilities worldwide have been moving toward the utilization of renewable energy resources because of their sustainability, environmental friendliness, and as promising low-cost energies for the future electricity production. Although a number of appealing advantages are expected, a large penetration of generation from renewable energy resources may cause some undesirable impact on system security and reliability due to the uncertainty of their generation output. Therefore, the power system analysis should be able to cope with and examine the influences resulting from the presence of this sector. In this paper, the influences on the TTC are investigated via the risk and monetary loss. The uncertainty of the forecast demand and the generation output from renewable energy resources is integrated into the calculation by a probabilistic method, Monte Carlo simulation. Furthermore, a partition technique for the Monte Carlo simulation is proposed for the speed enhancement.
  • Keywords
    Monte Carlo methods; electricity supply industry; power system economics; renewable energy sources; Monte Carlo simulation; electric power utilities; power system; probabilistic method; renewable energy resources; risk and monetary loss; risk-based TTC calculation; Load flow; Photovoltaic systems; Power system modeling; Power system reliability; Power system security; Power systems; Renewable energy resources; Solar power generation; Wind energy generation; Wind power generation; Renewable energy resources; total transfer capability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5282179
  • Filename
    5282179