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Wind turbine loads reduction using feedforward feedback collective pitch control based on the estimated effective wind speed

 
: Meng, Fanzhong; Wenske, Jan; Gambier, Adrian

:

Institute of Electrical and Electronics Engineers -IEEE-:
American Control Conference, ACC 2016 : July 6-8, 2016, Boston, MA, USA
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-4673-8680-7 (Print)
ISBN: 978-1-4673-8682-1
S.2289-2294
American Control Conference (ACC) <2016, Boston/Mass.>
Bundesministerium für Wirtschaft und Technologie BMWi
0325813; WindUC
Entwicklung dynamischer Modelle und fortgeschrittener Algorithmen der Regelungstechnik zur Beherrschung größerer Windenergieanlagen
Englisch
Konferenzbeitrag
Fraunhofer IWES ()
wind turbine; control; PID; Wind Speed Estimation

Abstract
Wind being the primary energy resource has a huge influence on the dynamic behavior of wind turbines. Therefore, the control algorithms can be further improved if the wind speed is known by the controller. Unfortunately, either no accurate direct online measurement of the effective wind speed is available or the measurement system is too expensive, which means that it should be estimated in order to make such improvement applicable on the control algorithm in practice. In this paper a new feedforward feedback collective pitch control algorithm based on the estimated effective wind speed and wind speed extrapolation is presented for improving the traditional collective pitch controller. The simulation results show that with the presented controller both fatigue loads and extreme loads can be reduced for the turbulent wind field and extreme operating gust respectively.

: http://publica.fraunhofer.de/dokumente/N-406636.html