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Orientador(es)
Resumo(s)
This paper is about better integration of wind energy into an electric grid, avoiding wind turbine pitch malfunction to become a failure. A fractional-order controller is used in the two-level converters of the wind turbine to reduce the voltage drops during the malfunction. The reduction is attained by an optimization problem for selection of the parameters of the fractional-order control. The optimization problem is a non-convex one, solved by a genetic algorithm together with a model of the wind turbine pitch malfunction. Kriging metamodeling is used to assist in output prediction due its lower computational requirements and its ability to provide a value for the uncertainty of the estimate. A comparison between the Kriging metamodeling and the complete model is presented and conclusions are stated to show the advantage of the Kriging metamodeling.
Descrição
Palavras-chave
Wind energy Electric grid Wind turbine pitch malfunction Kriging metamodeling
Contexto Educativo
Citação
PANDIYAN, Surya; [et al] – GA optimized fractional controller for a wind turbine ride through pitch malfunction. In2020 7th International Conference on Control, Decision and Information Technologies (CoDIT). : Prague, Czech Republic: IEEE, 2020. ISBN 978-1-7281-5953-9. Pp. 42-47
Editora
IEEE