A testing procedure for wind turbine generators based on the power grid statistical model

Abstract In this study, a comprehensive test procedure is developed to test wind turbine generators with a hardware-in-loop setup. The procedure employs the statistical model of the power grid considering the restrictions of the test facility and system dynamics. Given the model in the latent space, the joint probability distribution of the scores is estimated and then transformed into the sample space. Knowing that the active power and the phase voltages are the applicable variables to the test bench, the conditional probability distribution of these variables is calculated considering the restrictions as prior information. Two approaches are proposed to generate testing data based on Gibbs sampler; off-line and on-line. In the off-line approach the data is generated for a time interval in advance while the on-line approach uses the current information to generate the next sample. The validation is performed using energy function method in which the testing data and the validation data are compared to evaluate the confidence level of following the same probability distribution.

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