• DocumentCode
    1598123
  • Title

    Linking energy policy, electricity generation and transmission using strong sustainability and co-optimization

  • Author

    Bishop, Justin D K ; Amaratunga, Gehan A J ; Rodriguez, Cuauhtemoc

  • Author_Institution
    Dept. of Eng., Univ. of Cambridge, Cambridge, UK
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The design of a sustainable electricity generation and transmission system is based on the established science of anthropogenic climate change and the realization that depending on imported fossil-fuels is becoming a measure of energy insecurity of supply. A model is proposed which integrates generation fuel mix composition, assignment of plants and optimized power flow, using Portugal as a case study. The result of this co-optimized approach is an overall set of generator types/fuels which increases the diversity of Portuguese electricity supply, lowers its dependency on imported fuels by 14.62% and moves the country towards meeting its regional and international obligations of 31% energy from renewables by 2020 and a 27% reduction in greenhouse gas emissions by 2012, respectively. The quantity and composition of power generation at each bus is specified, with particular focus on quantifying the amount of distributed generation. Based on other works, the resultant, overall distributed capacity penetration of 19.02% of total installed generation is expected to yield positive network benefits. Thus, the model demonstrates that national energy policy and technical deployment can be linked through sustainability and, moreover, that the respective goals may be mutually achieved via holistic, integrated design.
  • Keywords
    air pollution control; fossil fuels; load flow; power plants; power transmission; anthropogenic climate change; cooptimization approach; distributed generation; electricity generation; electricity transmission; energy policy; fossil fuels; generation fuel mix composition; generator types; greenhouse gas emission reduction; optimized power flow; power plants; sustainability; Distributed control; Distributed power generation; Electric variables measurement; Energy measurement; Fuels; Global warming; Joining processes; Load flow; Power generation; Power system modeling; environmental factors; load flow analysis; power generation planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5276026
  • Filename
    5276026