• DocumentCode
    187915
  • Title

    Optimizing the renewable generation mix in the Portuguese power system based on temporal and spatial diversity

  • Author

    Pereira, J. ; Ferreira, Ruben Aires ; Sousa, Jorge A. M. ; Lagarto, Joao ; Martins, Alfredo

  • Author_Institution
    ISEL, ADESPA, Lisbon, Portugal
  • fYear
    2014
  • fDate
    28-30 May 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Renewable energy sources (RES) have unique characteristics that grant them preference in energy and environmental policies. However, considering that the renewable resources are barely controllable and sometimes unpredictable, some challenges are faced when integrating high shares of renewable sources in power systems. In order to mitigate this problem, this paper presents a decision-making methodology regarding renewable investments. The model computes the optimal renewable generation mix from different available technologies (hydro, wind and photovoltaic) that integrates a given share of renewable sources, minimizing residual demand variability, therefore stabilizing the thermal power generation. The model also includes a spatial optimization of wind farms in order to identify the best distribution of wind capacity. This methodology is applied to the Portuguese power system.
  • Keywords
    decision making; optimisation; thermal power stations; wind power plants; Portuguese power system; RES; decision-making methodology; energy policy; environmental policy; renewable energy sources; renewable generation mix optimization; residual demand variability minimization; spatial diversity; spatial optimization; temporal diversity; thermal power generation; wind capacity; wind farms; Correlation; Optimization; Power system stability; Production; Renewable energy sources; Thermal stability; Wind power generation; Large-scale integration; Power systems; Renewable generation mix; Temporal and spatial analysis; Wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Energy Market (EEM), 2014 11th International Conference on the
  • Conference_Location
    Krakow
  • Type

    conf

  • DOI
    10.1109/EEM.2014.6861292
  • Filename
    6861292