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Advisor(s)
Abstract(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.
Description
Keywords
Wind energy Electric grid Wind turbine pitch malfunction Kriging metamodeling
Citation
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
Publisher
IEEE