<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In order to accurately estimate wind farm output and subsequently optimise it, a method of wind speed distribution approximation is suggested. The method is based on period-by-period accumulation of wind speed measurements, transforming them into empirical probabilities, and observing the moving approximation to the expected power produced by the wind turbine or entire wind farm. A year is a minimal term during which wind statistics are to be accumulated. The sufficient validity and reliability of the wind speed distribution approximation is supported by controlling root -mean-square deviations and maximal absolute deviations with respect to the moving average of the expected power. The approximation quality can be regulated by adjusting constants defining the requirements to the moving deviations.</p></abstract>

In order to accurately estimate wind farm output and subsequently optimise it, a method of wind speed distribution approximation is suggested. The method is based on period-by-period accumulation of wind speed measurements, transforming them into empirical probabilities, and observing the moving approximation to the expected power produced by the wind turbine or entire wind farm. A year is a minimal term during which wind statistics are to be accumulated. The sufficient validity and reliability of the wind speed distribution approximation is supported by controlling root -mean-square deviations and maximal absolute deviations with respect to the moving average of the expected power. The approximation quality can be regulated by adjusting constants defining the requirements to the moving deviations.

Wind Speed Distribution Direct Approximation by Accumulative Statistics of Measurements and Root-Mean-Square Deviation Control

Electrical, Control and Communication Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In order to accurately estimate wind farm output and subsequently optimise it, a method of wind speed distribution approximation is suggested. The method is...

Wind Speed Distribution Direct Approximation by Accumulative Statistics of Measurements and Root-Mean-Square Deviation Control

Online veröffentlicht: 12. Apr. 2021

Seitenbereich: 65 - 71

DOI: https://doi.org/10.2478/ecce-2020-0010

Schlüsselwörter
Accumulative statistics, Approximation, Empirical probabilities, Moving parameter, Root-mean-square deviation control, Wind power, Wind speed distribution

© 2020 Vadim Romanuke, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Wind Speed Distribution Direct Approximation by Accumulative Statistics of Measurements and Root-Mean-Square Deviation Control

Online veröffentlicht: 12. Apr. 2021

Seitenbereich: 65 - 71

DOI: https://doi.org/10.2478/ecce-2020-0010

SchlüsselwörterAccumulative statistics, Approximation, Empirical probabilities, Moving parameter, Root-mean-square deviation control, Wind power, Wind speed distribution

© 2020 Vadim Romanuke, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Accumulative statistics, Approximation, Empirical probabilities, Moving parameter, Root-mean-square deviation control, Wind power, Wind speed distribution