engleski

Neural networks based prediction of wind gusts

With increase of wind power penetration into electrical grid its influence on grid conditions grows. Therefore, new demands upon wind power plants emerge. Such demands are tracking of the imposed power set point and respecting imposed constraints on rate of change of the injected power. Due to large blade inertia conventional wind turbine pitch control system is not always capable to meet this objective. This is especially pronounced during large wind gusts. The basis for enhancement of ability of the control system to meet new objectives could be based on feed forward information about upcoming wind gusts. In this paper the strategy of spatially distributed wind predictions based on neural networks is proposed and validated on measurements obtained at test site. The measurements from an upwind meteorological mast were used to predict the upcoming wind gust on downwind position. The extension of this methodology for implementations in large wind farms was proposed. Results obtained from experimental validation encourage such extension.

wind speed prediction; wind gusts; neural networks

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