TY - JOUR
T1 - Variability in large-scale wind power generation
AU - Kiviluoma, Juha
AU - Holttinen, Hannele
AU - Weir, David
AU - Scharff, Richard
AU - Söder, Lennart
AU - Menemenlis, Nickie
AU - Cutululis, Nicolaos Antonio
AU - Danti Lopez, Irene
AU - Lannoye, Eamonn
AU - Estanqueiro, Ana
AU - Gomez-Lazaro, Emilio
AU - Zhang, Qin
AU - Bai, Jianhua
AU - Wan, Yih-Huei
AU - Milligan, Michael
PY - 2016
Y1 - 2016
N2 - The paper demonstrates the characteristics of wind power variability and net load variability in multiple power systems
based on real data from multiple years. Demonstrated characteristics include probability distribution for different ramp
durations, seasonal and diurnal variability and low net load events. The comparison shows regions with low variability
(Sweden, Spain and Germany), medium variability (Portugal, Ireland, Finland and Denmark) and regions with higher
variability (Quebec, Bonneville Power Administration and Electric Reliability Council of Texas in North America; Gansu,
Jilin and Liaoning in China; and Norway and offshore wind power in Denmark). For regions with low variability, the
maximum 1 h wind ramps are below 10% of nominal capacity, and for regions with high variability, they may be close
to 30%. Wind power variability is mainly explained by the extent of geographical spread, but also higher capacity factor
causes higher variability. It was also shown how wind power ramps are autocorrelated and dependent on the operating output
level. When wind power was concentrated in smaller area, there were outliers with high changes in wind output, which
were not present in large areas with well-dispersed wind power. Copyright © 2015 John Wiley & Sons, Ltd.
AB - The paper demonstrates the characteristics of wind power variability and net load variability in multiple power systems
based on real data from multiple years. Demonstrated characteristics include probability distribution for different ramp
durations, seasonal and diurnal variability and low net load events. The comparison shows regions with low variability
(Sweden, Spain and Germany), medium variability (Portugal, Ireland, Finland and Denmark) and regions with higher
variability (Quebec, Bonneville Power Administration and Electric Reliability Council of Texas in North America; Gansu,
Jilin and Liaoning in China; and Norway and offshore wind power in Denmark). For regions with low variability, the
maximum 1 h wind ramps are below 10% of nominal capacity, and for regions with high variability, they may be close
to 30%. Wind power variability is mainly explained by the extent of geographical spread, but also higher capacity factor
causes higher variability. It was also shown how wind power ramps are autocorrelated and dependent on the operating output
level. When wind power was concentrated in smaller area, there were outliers with high changes in wind output, which
were not present in large areas with well-dispersed wind power. Copyright © 2015 John Wiley & Sons, Ltd.
KW - Wind Power
KW - Variability
KW - Net load
KW - Variable generation
KW - Power systems
U2 - 10.1002/we.1942
DO - 10.1002/we.1942
M3 - Journal article
SN - 1095-4244
VL - 19
SP - 1649
EP - 1665
JO - Wind Energy
JF - Wind Energy
IS - 9
ER -