Method for normalizing initial data of wind measurements in complex terrain areas

We set out to develop a method for normalizing the initial data of wind measurements obtained from meteorological stations for the terrain conditions of the wind turbine or power plant location. To solve the problem, we propose a numerical solution of a system of differential equations for the conditions of a turbulent environment in the lower surface layer of atmosphere at a height of 1000 m and less from the earth surface. The analogous object is a 300 kW Kamai wind turbine installed in Ust-Kamchatsk, Russian Federation. We use a simplified system of equations, which accounts for the terrain to determine the wind velocity at the wind power plant site. Satellite maps and well-known tables of reduced landscape roughness are used to determine the terrain. The feasibility of this method, as well as the effect of initial data accuracy on the forecast output of the wind power plant are assessed using the example of wind resources in Ossora, Kamchatka Peninsula, Russian Federation. The proposed approach reduces the error of the subsequent forecast for the wind power plant output to 15%. Moreover, the proposed method requires no long-term observations of daily and annual changes in wind velocity, which is of particular importance for newly built wind power plants. The meteorological network provides data relevant for the region and describes its characteristics as a whole, thus complicating the determination of the resource at a specific point of the region with a time interval of up to 3 h. The proposed solution concerns both the design and operation of a wind power plant by allowing the site distribution of wind velocity to be obtained even when data for a larger region are used.

wind speed forecasting models, wind energy, renewable energy sources, meteorology, wind measuring complex, wind farm operation