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
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;
Conference_Titel :
European Energy Market (EEM), 2014 11th International Conference on the
Conference_Location :
Krakow
DOI :
10.1109/EEM.2014.6861292