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Wind power prediction system for wind farm based on auto regressive statistical model and physical model
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10.1063/1.4861063
/content/aip/journal/jrse/6/1/10.1063/1.4861063
http://aip.metastore.ingenta.com/content/aip/journal/jrse/6/1/10.1063/1.4861063

Figures

Image of FIG. 1.
FIG. 1.

Prediction system configuration.

Image of FIG. 2.
FIG. 2.

Schematic of wake model.

Image of FIG. 3.
FIG. 3.

The layout of wind turbines in Wattle Point Wind Farm.

Image of FIG. 4.
FIG. 4.

The power curve of the wind turbine.

Image of FIG. 5.
FIG. 5.

The thrust coefficient curve of the wind turbine.

Image of FIG. 6.
FIG. 6.

The comparison between measured data and simulation results with different wake models in the WSW direction.

Image of FIG. 7.
FIG. 7.

The wind rose of measured weather data and prediction results with statistical model on 26th, 27th, and 28th March. The subgraphs (a), (c), and (e) are measured data and the subgraphs (b), (d), and (f) are prediction results.

Image of FIG. 8.
FIG. 8.

The comparison between the measured output power data and the prediction results before post-processing on 26th, 27th, and 28th March.

Image of FIG. 9.
FIG. 9.

The comparison between the measured output power data and the prediction results after post-processing on 26th, 27th, and 28th March.

Tables

Generic image for table
Table I.

Properties of wind turbines.

Generic image for table
Table II.

Error analysis of wind speed and direction.

Generic image for table
Table III.

Mean daily power output and errors before post-processing.

Generic image for table
Table IV.

Mean daily power output and errors after post-processing.

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/content/aip/journal/jrse/6/1/10.1063/1.4861063
2014-01-02
2014-04-20
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Wind power prediction system for wind farm based on auto regressive statistical model and physical model
http://aip.metastore.ingenta.com/content/aip/journal/jrse/6/1/10.1063/1.4861063
10.1063/1.4861063
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