Abstract
Studies of the effects that wind power production imposes on the power
system involve assessing the variations of large‐scale wind power
production over the whole power system area. Large geographical
spreading of wind power will reduce variability, increase predictability
and decrease the occasions with near zero or peak output. In this
article the patterns and statistical properties of large‐scale wind
power production data are studied using the data sets available for the
Nordic countries. The existing data from Denmark give the basis against
which the data collected from the other Nordic countries are
benchmarked. The main goal is to determine the statistical parameters
describing the reduction of variability in the time series for the
different areas in question. The hourly variations of large‐scale wind
power stay 91%–94% of the time within ±5% of installed capacity in one
country, and for the whole of the Nordic area 98% of the time. For the
Nordic time series studied, the best indicator of reduced variability in
the time series was the standard deviation of the hourly variations.
According to the Danish data, it is reduced to less than 3% from a
single site value of 10% of capacity.
Original language | English |
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Pages (from-to) | 173 - 195 |
Number of pages | 23 |
Journal | Wind Energy |
Volume | 8 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2005 |
MoE publication type | A1 Journal article-refereed |
Keywords
- wind power
- reserve needs
- wind power fluctuations
- wind variations
- wind power production
- aggregated wind power
- fluctuating production