Abstract
In complex terrain, the inhomogeneity of wind speed in a horizontal plane at light detection and ranging (LiDAR) measurement heights is generally high due to the curvature of the flow. Consequently, it is impossible to avoid measurement errors when using LiDAR, a ground-based remote-sensing device in such terrain. To correct this measurement error, the vertical wind speed gradient along the horizontal direction is calculated by computational fluid dynamics (CFD) software such as WindSim. This article validated the effectiveness of the WindSim remote-sensing correction module by applying it to the Yangyang pumped storage plant site, which is surrounded by very complex mountainous terrain with a maximum difference in elevation of 765 m and an average terrain slope of 26.7°, and performed an 84-h short-term field campaign using a WindCube LiDAR. It is shown that the WindSim remote-sensing correction module slightly but systematically improved the accuracy of predicting wind speed and wind power output with respect to the supervisory control and data acquisition (SCADA) dataset of two adjacent wind turbines at the Yangyang pumped storage plant.
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