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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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Preprints
https://doi.org/10.5194/wes-2020-64
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2020-64
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  06 Apr 2020

06 Apr 2020

Review status
A revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

A simple methodology to detect and quantify wind power ramps

Bedassa R. Cheneka1, Simon J. Watson1, and Sukanta Basu2 Bedassa R. Cheneka et al.
  • 1Faculty of Aerospace Engineering, Wind Energy Section, Delft University of Technology, Delft, The Netherlands
  • 2Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, The Netherlands

Abstract. Knowledge about the expected duration and intensity of wind power ramps is important when planning the integration of wind power production into an electricity network. How to detect and classify wind power ramps is not straightforward due to the large range of events that are observed and the stochastic nature of the wind. The development of an algorithm that can detect and classify wind power ramps is thus of some benefit to the wind energy community. In this study, we describe a relatively simple methodology using a wavelet transform to discriminate ramp events above stochastic variations using randomly shuffled wind power surrogates. To illustrate our approach, we used aggregated Belgian offshore wind power production data to characterise wind power ramps over a period of 10 days. We further illustrate the utility of the methodology by extracting distributions of ramp rates and their duration using two years of wind power production data. This brief study showed that there was a strong correlation between ramp rate and ramp duration, especially for up-ramps, that the majority of ramp events were less than 15 hours with a median duration of around eight hours and that ramps with a duration of more than a day were rare.

Bedassa R. Cheneka et al.

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Bedassa R. Cheneka et al.

Bedassa R. Cheneka et al.

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Latest update: 01 Dec 2020
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Short summary
Wind power ramps are import characteristics for planning and integration of wind power production into electricity. We present a new but straightforward approach to detect wind power ramps duration and intensity. The algorithm classifies the temporal wind power production into up, down, and no-ramps. This research article is helpful for the wind energy community that presents a holistic approach to detect wind power ramps duration and intensity.
Wind power ramps are import characteristics for planning and integration of wind power...
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