Abstract
A wind tunnel experiment is presented which combines the use of controlled turbulent inflow conditions and a two-bladed model wind turbine utilizing a new control strategy called subspace predictive repetitive control (SPRC). The validation of the performance of SPRC was made under turbulent inflow conditions generated by an active grid. The 3m × 3m active grid is used in this experiment using a unique method to generate reproducible atmospheric- like turbulent wind fields to act on a medium sized model wind turbine. This contribution is focussing on the detailed description of the experiment and its components and the analysis of the turbulent inflow by means of one and two point statistics. Exemplarily the impact of the new control strategy to the generated turbulent test cases are discussed.
Highlights
Because of the increasing energy consumption and the expansion of renewable energy the demands on wind energy converters are constantly increasing
We present a wind tunnel experiment, which combines a model wind turbine equipped with these new control designs and a turbulent inflow generated by an so called active grid
Results the results of the characterization of the turbulent inflow are shown and some exemplary results of the subspace predictive repetitive control (SPRC) algorithm reacting to the incoming turbulence
Summary
Because of the increasing energy consumption and the expansion of renewable energy the demands on wind energy converters are constantly increasing. We present a wind tunnel experiment, which combines a model wind turbine equipped with these new control designs and a turbulent inflow generated by an so called active grid.
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