Site matching of wind turbine generators: A case study

Site matching of wind turbine generators is investigated based on appropria te selection of statistical models and means of wind speed data. The wind s peed means are computed using arithmetic mean, root mean square and cubic m ean cuberoot. Wind Speed frequency distributions are modelled using Weibull and Rayleigh probability density functions. Wind speed data of an existing wind power station, located at Kappadagudda, Karnataka, India, is used for computational purposes. The analytically obtained capacity factors are val idated by comparing with the actual capacity factors obtained at Kappadagud da. It is observed that the capacity factors computed from the Weibull stat istical model using cubic mean of wind speed data fairly match the actual c apacity factors obtained from Kappadagudda wind power station. Various comm ercially available wind turbine generators are used for site matching study . The model described in the paper is useful for planning of wind power sta tions as it can be applied for accurate assessment of wind power potential at a site.