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Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/51272

Title: Accurate rotor speed estimation for low-power wind turbines
Author(s): Guerrero Muñoz, Juan Manuel
Lumbreras Iglesias, Carlos
Díaz Reigosa, David
Fernández Alonso, Daniel
Briz del Blanco, Fernando
Blanco Charro, Cristian
Issue date: 2019
Publisher: IEEE
Publisher version: http://dx.doi.org/10.1109/TPEL.2019.2913781
Citation: IEEE Transactions on Power Electronics (2019); doi:10.1109/TPEL.2019.2913781
Abstract: Small grid-tied wind turbines based on permanent magnet generators often use a cost-effective power converter topology consisting of a passive rectifier, a boost converter, and an H-bridge inverter. Speed or position sensors are rarely used due to cost issues. Model-based estimators relying on electrical magnitudes are used instead. However, such estimators are parameter sensitive, which limit their accuracy. Further concerns arise if these parameters change with the operating condition of the machine, mainly due to temperature. Speed sensorless control using the rectifier voltage ripple is analyzed in this paper. This technique provides good dynamic response and does not depend on machine parameters. Simulations are provided for speed and power tracking comparison with an accurate model-based speed estimation method operating at non-rated parameters. The speed accuracy and power tracking capability of the proposed method are similar to that provided by a speed sensor. This is translated into a 0.9% power increase when the model-based speed estimator shows 9% of error. Experimental results are carried out to test the effect of current and temperature in the estimation, showing temperature insensitivity and some distortion due to fast current transients. A speed estimation accuracy of zero mean error and 1.7% standard error is experimentally obtained in the regular operation of the wind turbine
URI: http://hdl.handle.net/10651/51272
ISSN: 0885-8993
Sponsored: This work was supported in part by the Research, Technological Development and Innovation Programs of the Spanish Ministry Economy and Competitiveness, under grant MINECO-17-ENE2016-80047-R and by the Government of Asturias through FEDER funds under project IDI/2018/000188
Project id.: MINECO/17-ENE2016-80047-R
Principado de Asturias, FEDER/IDI-2018-000188
Appears in Collections:Artículos
Ingeniería Eléctrica, Electrónica, de Computadores y Sistemas
Investigaciones y Documentos OpenAIRE

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