The limit to dampen the variation in the output of the wind energy in the Nordic countries and Germany was investigated using meteorological wind speed data. Data from 2009 was used and tests were performed on data from 2006-2008. The results show that the variation in aggregated wind power output can be significantly lowered from finding an optimal allocation. For the data used in this work, the coefficient of variation (standard deviation/mean) was 0.50 for the optimized aggregation of sites, compared to 0.75 for the present day installation. Thus, such an optimal allocation may result in less need for dispatch and other measures to deal with the intermittency of wind power
The variations of wind power production will increase the flexibility needed in the system when sign...
In this thesis, we analyse how geographical diversification and a portfolio approach lowers the vari...
Geographic diversification of wind farms can smooth out the fluctuations in wind power generation an...
In a future European electricity system, wind power and other variable renewables may constitute a l...
This paper presents a method to dampen the variations in the output of aggregated wind power through...
The trade-off between average output and standard deviation of the aggregated wind power output in E...
This paper analyses the variability of load, wind power production and their combination in the Nord...
Studies of the effects that wind power production imposes on the power system involve assessing the ...
The Austrian energy action plan 2010 aims at increasing annual wind power production by 3 TWh until ...
This paper investigates the influence of geographical allocation of wind power generation in Norther...
This publication analysed the variability of wind production and load in Denmark, Finland, Sweden, a...
This work investigates macro-geographic allocation as a means to improve the performance of aggregat...
The drawbacks of wind power from the power system point of view are its variability and unpredictabi...
The large-scale deployment of wind and solar power poses challenges to the electricity system by int...
This thesis investigates the dynamics of electricity generation systems that involve high levels of ...
The variations of wind power production will increase the flexibility needed in the system when sign...
In this thesis, we analyse how geographical diversification and a portfolio approach lowers the vari...
Geographic diversification of wind farms can smooth out the fluctuations in wind power generation an...
In a future European electricity system, wind power and other variable renewables may constitute a l...
This paper presents a method to dampen the variations in the output of aggregated wind power through...
The trade-off between average output and standard deviation of the aggregated wind power output in E...
This paper analyses the variability of load, wind power production and their combination in the Nord...
Studies of the effects that wind power production imposes on the power system involve assessing the ...
The Austrian energy action plan 2010 aims at increasing annual wind power production by 3 TWh until ...
This paper investigates the influence of geographical allocation of wind power generation in Norther...
This publication analysed the variability of wind production and load in Denmark, Finland, Sweden, a...
This work investigates macro-geographic allocation as a means to improve the performance of aggregat...
The drawbacks of wind power from the power system point of view are its variability and unpredictabi...
The large-scale deployment of wind and solar power poses challenges to the electricity system by int...
This thesis investigates the dynamics of electricity generation systems that involve high levels of ...
The variations of wind power production will increase the flexibility needed in the system when sign...
In this thesis, we analyse how geographical diversification and a portfolio approach lowers the vari...
Geographic diversification of wind farms can smooth out the fluctuations in wind power generation an...