Using Upstream LIDAR Measurements

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In this Using Upstream LIDAR Measurements project, Windlab will use upstream LIDAR wind profile measurements to augment (supervisory control and data acquisition) SCADA information currently provided to the machine learning algorithms used in 5-minute-ahead wind forecasts.This project involves using LIDAR wind profilers to map out the best locations to take upstream measurements and the extent to which those upstream measurements can increase the accuracy of 5-minute-ahead wind forecasts.Key resultsWindlab used two LIDARs to measure wind upstream of the windfarm to determine whether these measurements could improve upon AEMO’s own forecast. This project was very experimental in its nature. The anticipated follow-on from the work would have been a forecasting tool/product based on the methodology. Though it was found that inclusion of upstream wind measurements increased forecast performance, in the final stages of the project it was determined that the increase in accuracy of the forecasts were not sufficient to warrant further development of a forecast system based on the methodology.

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