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Numerical and Experimental Methods for the Assessment of Wind Turbine Control Upgrades

Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy
Renvico srl, Via San Gregorio 34, 20124 Milano, Italy
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Appl. Sci. 2018, 8(12), 2639;
Received: 31 October 2018 / Revised: 27 November 2018 / Accepted: 13 December 2018 / Published: 16 December 2018
(This article belongs to the Special Issue Wind Energy Conversion Systems)
Megawatt-scale wind turbine technology is nowadays mature and, therefore, several technical improvements in order to optimize the efficiency of wind power conversion have been recently spreading in the industry. Due to the nonstationary conditions to which wind turbines are subjected because of the stochastic nature of the source, the quantification of the impact of wind turbine power curve upgrades is a complex task and in general, it has been observed that the efficiency of the upgrades can vary considerably depending on the wind flow conditions at the microscale level. In this work, a test case of wind turbine control system improvement was studied numerically and through operational data. The wind turbine is multi-megawatt; it is part of a wind farm sited in a complex terrain in Italy, featuring 17 wind turbines. The analyzed control upgrade is an optimization of the revolutions per minute (rpm) management. The impact of this upgrade was quantified through a method based on operational data: It consists of the study, before and after the upgrade, of the residuals between the measured power output of the wind turbine of interest and an appropriate model of the power output itself. The input variables for the model were selected to be some operational parameters of the nearby wind turbines: They were selected from the data set at disposal with a stepwise regression algorithm. This work also includes a numerical characterization of the problem, by means of aeroelastic simulations performed with the FAST software: By mimicking the pre- and post-upgrade generator rpm–generator torque curve, it is subsequently possible to estimate how the wind turbine power curve changes. The main result of this work is that the two estimates of production improvement have the same order of magnitude (1.0% of the production below rated power). In general, this study sheds light on the perspective of employing not only operational data, but also a sort of digital replica of the wind turbine of interest, in order to reliably quantify the impact of control system upgrades. View Full-Text
Keywords: wind energy; wind turbines; aeroelasticity; control and optimization wind energy; wind turbines; aeroelasticity; control and optimization
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MDPI and ACS Style

Astolfi, D.; Castellani, F.; Berno, F.; Terzi, L. Numerical and Experimental Methods for the Assessment of Wind Turbine Control Upgrades. Appl. Sci. 2018, 8, 2639.

AMA Style

Astolfi D, Castellani F, Berno F, Terzi L. Numerical and Experimental Methods for the Assessment of Wind Turbine Control Upgrades. Applied Sciences. 2018; 8(12):2639.

Chicago/Turabian Style

Astolfi, Davide, Francesco Castellani, Francesco Berno, and Ludovico Terzi. 2018. "Numerical and Experimental Methods for the Assessment of Wind Turbine Control Upgrades" Applied Sciences 8, no. 12: 2639.

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