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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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https://doi.org/10.5194/wes-2020-81
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2020-81
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  05 Jun 2020

05 Jun 2020

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A revised version of this preprint is currently under review for the journal WES.

Characterisation of Intra-hourly Wind Power Ramps at the Wind Farm Scale and Associated Processes

Mathieu Pichault1, Claire Vincent2, Grant Skidmore1, and Jason Monty1 Mathieu Pichault et al.
  • 1Department of Mechanical Engineering, The University of Melbourne, Victoria 3010 Australia
  • 2School of Earth Sciences, The University of Melbourne, Victoria 3010 Australia

Abstract. One of the main factors contributing to wind power forecast inaccuracies is the occurrence of large changes in wind power output over a short amount of time, also called ramp events. In this paper, we assess the behaviour and causality of 1183 ramp events at a large wind farm site located in Victoria (southeast Australia). We address the relative importance of primary engineering and meteorological processes inducing ramps through an automatic ramp categorisation scheme. Ramp features such as ramp amplitude, shape, diurnal cycle and seasonality, are further discussed and several case studies are presented. It is shown that ramps at the study site are mostly associated with frontal activity (46 %) and convective processes (29 %), and that wind power fluctuations tend to plateau before and after the ramps. The research further demonstrates the wide range of temporal scales and behaviours inherent to intra-hourly wind power ramps at the wind farm scale.

Mathieu Pichault et al.

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Mathieu Pichault et al.

Mathieu Pichault et al.

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Latest update: 25 Sep 2020
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Short summary
This paper assesses the behaviour and causality of sudden variations in wind power generation over a short period of time, also called ramp events. It is shown, amongst other things, that ramps at the study site are mostly associated with frontal activity and convective processes. Overall, the research contributes to a better understanding of the drivers and behaviours of wind power ramps at the wind farm scale, beneficial to ramp forecasting and ramp modelling.
This paper assesses the behaviour and causality of sudden variations in wind power generation...
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