Variability in large-scale wind power generation

Juha Kiviluoma (Corresponding Author), Hannele Holttinen, David Weir, Richard Scharff, Lennart Soder

Research output: Contribution to journalArticleScientificpeer-review

18 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)1649-1665
JournalWind Energy
Volume19
Issue number9
DOIs
Publication statusPublished - 2016
MoE publication typeA1 Journal article-refereed

Fingerprint

Wind power
Power generation
Probability distributions

Keywords

  • wind power
  • variability
  • net load
  • variable generation
  • power systems

Cite this

Kiviluoma, J., Holttinen, H., Weir, D., Scharff, R., & Soder, L. (2016). Variability in large-scale wind power generation. Wind Energy, 19(9), 1649-1665. https://doi.org/10.1002/we.1942
Kiviluoma, Juha ; Holttinen, Hannele ; Weir, David ; Scharff, Richard ; Soder, Lennart. / Variability in large-scale wind power generation. In: Wind Energy. 2016 ; Vol. 19, No. 9. pp. 1649-1665.
@article{bc0531d6715745629d98254dda5b532d,
title = "Variability in large-scale wind power generation",
abstract = "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.",
keywords = "wind power, variability, net load, variable generation, power systems",
author = "Juha Kiviluoma and Hannele Holttinen and David Weir and Richard Scharff and Lennart Soder",
year = "2016",
doi = "10.1002/we.1942",
language = "English",
volume = "19",
pages = "1649--1665",
journal = "Wind Energy",
issn = "1095-4244",
publisher = "Wiley",
number = "9",

}

Kiviluoma, J, Holttinen, H, Weir, D, Scharff, R & Soder, L 2016, 'Variability in large-scale wind power generation', Wind Energy, vol. 19, no. 9, pp. 1649-1665. https://doi.org/10.1002/we.1942

Variability in large-scale wind power generation. / Kiviluoma, Juha (Corresponding Author); Holttinen, Hannele; Weir, David; Scharff, Richard; Soder, Lennart.

In: Wind Energy, Vol. 19, No. 9, 2016, p. 1649-1665.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Variability in large-scale wind power generation

AU - Kiviluoma, Juha

AU - Holttinen, Hannele

AU - Weir, David

AU - Scharff, Richard

AU - Soder, Lennart

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.

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.

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 - Article

VL - 19

SP - 1649

EP - 1665

JO - Wind Energy

JF - Wind Energy

SN - 1095-4244

IS - 9

ER -

Kiviluoma J, Holttinen H, Weir D, Scharff R, Soder L. Variability in large-scale wind power generation. Wind Energy. 2016;19(9):1649-1665. https://doi.org/10.1002/we.1942