• DocumentCode
    3252755
  • Title

    Evaluation of economic impacts of wind turbine and solar cell generators on power system considering CO2 emission

  • Author

    Park, Jeongje ; Cho, Kyeonghee ; Oh, Taegon ; Choi, Jaeseok ; El-Keib, A.A.

  • Author_Institution
    Dept. of Electr. Eng., Gyeongsang Nat. Univ., Jinju, South Korea
  • fYear
    2010
  • fDate
    14-17 June 2010
  • Firstpage
    413
  • Lastpage
    418
  • Abstract
    Renewable energy resources such as wind, wave, solar, micro hydro, tidal and biomass among others are becoming more important because of increasingly restricted environmental constraints. This paper develops an algorithm for probabilistic reliability and production cost credit evaluation of a power system added wind turbine(WTG) and solar cell generators (SCG) with multi-state considering CO2 emission. While a two-state model is well suited for modeling conventional generators, a multi-state model is needed for modeling wind turbine and solar cell generators due to the random variation of wind speed and solar radiation. This paper presents a method suited for the purpose of reliability and production cost evaluation study on a power system with wind turbine or solar cell generators. Test results indicate the viability of the method.
  • Keywords
    environmental factors; power system economics; power system reliability; renewable energy sources; solar cells; wind turbines; CO2; carbon dioxide emission; economic impacts; environmental constraints; power system added wind turbine; probabilistic reliability; production cost credit evaluation; renewable energy resources; solar cell generators; solar radiation; wind speed; Photovoltaic cells; Power generation; Power generation economics; Power system economics; Power system modeling; Power system reliability; Power systems; Solar power generation; Wind energy generation; Wind turbines; CO2; Solar cell generator; Wind turbine generator; reliability; renewable;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5720-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2010.5528958
  • Filename
    5528958